Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.

Role and Responsibilities

As an Analyst, you will be involved in a wide range of projects, including:

• Work with team leads to provide high-quality, professional day-to-day execution engagements

and projects in line with the firm's risk management practices for clients across a wide range

of industries.

• Analyzing large and disparate data to support or refute the facts and allegations of disputes,

investigations, and litigations.

• Work as a team member and contribute to AML projects which includes data preparation,

model design, model development, implementation, documentation, and on-going validation &

optimization of rules/ scenarios.

• Helping clients to assess and leverage new data sources, techniques, and technologies to

improve business processes and compliance.

• Contributing to impactful recommendations on clients’ operating models, including people,

process, technology, and data considerations

• Maintain professional and positive client interactions whilst providing support, including

dealing with ad-hoc queries.

• Supporting projects from other Deloitte Forensic service lines, as and where required

• Contribute to personal and overall team development, through staying up to date with forensic

accounting-related news, and technical and regulatory developments.

• Support Manager/Director in developing marketing collateral, business proposals, and new

solution / methodology development.

• Develop and maintain relationship with strategic (internal and external) service providers.

Requirements

• A university degree in accounting, computer science, information management or related skills

• Demonstrable experience and fluency in three or more of the following technical areas are essential:-

• Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive, SAS).

• Experience with industry standard RDMS (eg. Oracle, MSSQL, PostgreSQL).

• Database design and development (ie. Microsoft SQL Server or IBM DB2).

• Data loading and ETL solutions (ie. Microsoft SSIS or IBM DataStage ).

• Reporting and data visualisation tools (eg. Microsoft SSRS, Tableau, Power BI, Qlikview, D3).

• Scripting or programming experience (eg. C#, VB.net, Java, Python).

• Experience of text analytics through use of taxonomies, concept searching, machine learning and/or clustering.

• Strong conceptual, analytical, and critical thinking with the ability to dive deep into analytics while also contributing to larger strategic discussions.

• A “can do” attitude with the sense of urgency and the confidence to build problem-solving partnerships with clients and colleagues and set and manage aggressive goals for self and others.

• An ability to present complex quantitative analyses and recommendations to both technical and non-technical audiences, including senior client executives, in a clear, concise and actionable manner.

• Strong writing skills to contribute to proposals and the production of deliverables.

• Accounting knowledge would be beneficial

• Enthusiasm for learning new things and a willingness to teach others.

Responsibilities

As a key contributor to our team, you will help build a robust Data Platform that powers analytics and AI-driven solutions. Your responsibilities include:

• Building and maintaining end-to-end data systems using tools like Python, Scala, or similar.
• Designing, developing, and managing data pipelines for real-time decision-making, reporting, and data collection.
• Implementing processes to ensure data quality, governance, and security.
• Developing ETL/ELT processes and working with structured, semi-structured, and unstructured data.
• Creating and optimizing data models and workflows to support data transformation and storage.
• Leveraging cloud data technologies and services, including Azure, for scalable and efficient data solutions.
• Collaborating with cross-functional teams to produce high-quality, well-tested, and secure code.
• Utilizing tools such as Spark Streaming, Delta Tables, and Databricks for handling large datasets.
• Managing diverse data stores, including data warehouses, RDBMS, and in-memory caches.
• Supporting data-driven decision-making with innovative solutions and advanced analytics.

Qualifications

Required Skills:

• Education: BS/MS in Computer Science, Information Systems, Data Analytics, or equivalent experience.
• At least 2+ years of experience in:Building pipelines and incorporating workflow tools into data system designs.
  ETL/ELT, Data Warehousing, or Business Intelligence Development.
  Leveraging SQL for data investigations and problem-solving.
  Working with cloud platforms and services for data processing and storage.
  Handling structured, semi-structured, and unstructured data across diverse storage systems.
  
• Hands-on experience with:Large datasets and tools like Databricks or PySpark.
  Storage systems such as Azure Data Lakes or other cloud-native solutions.
  Spark Streaming and creating Delta (Live) Tables.
  
• Strong background in design, implementation, and testing for scalable data solutions.
• Proficiency in developing for continuous integration and automated deployments.
• Ability to work in a collaborative environment with excellent communication skills.

Preferred Skills:

• Experience with microservices platforms like Kubernetes, Docker, and Helm Charts.
• Familiarity with event-driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink).
• Knowledge of advanced tools such as DBT or Data Vault methodologies.
• Experience with Microsoft Fabric or administering BI tools.
• Proficiency in additional programming languages like JavaScript, Java, or C#.
• Ability to guide and mentor other developers, providing technical leadership and expertise.

Responsibilities

· Maintaining computer networks including mainframes, VPNs, routers and other physical hardware

· Installing and configuring network equipment

· Creating firewalls and updating virus protection software and data security systems to keep data and communications protected

· Monitoring computer systems to improve network performance for all systems

Skills/Requirement

· Security --> Palo Alto, Cisco ASA, Fortinet firewall & Proxy (must be Level 3

· Load balancers --> F5 LTM & GTM

· Routing & Switching --> Cisco Catalyst & Nexus, HP Aruba switches & Routers (must be Level 3)

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Professional fluency in English and Mandarin

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications

• Bachelors degree, OR 3+ years of relevant work experience.

Preferred Qualifications

• 1 to 2 years of software development work experience along with a Bachelor’s degree, or 2+ years of work experience with an Advanced Degree in a technical field such as computer science, computer engineering, or a related field.
• Solid foundation in computer science with strong competencies in data structures, algorithms, and software design optimized for building highly distributed and parallelized systems.
• Proficiency in Java or Scala with strong design and coding skills.
• Hands-on experience with web technologies including Spring Boot, HTML, CSS, JavaScript, JSON, JQuery, and REST API.
• Practical knowledge of Angular.
• Working experience with Spring and Hibernate frameworks.
• Experience with Apache Spark is plus.
• Familiarity with Git/Stash, Ant, Maven, Jenkins, and Jira.
• Experience with database technologies like DB2, Oracle, SQL Server.
• Knowledge of Unix/Linux operating systems.
• Experience with Agile & DevOps methodologies.
• Excellent analytical and problem-solving skills with a strong automation mindset.
• Capability to handle multiple competing priorities in a fast-paced environment.
• Excellent written and verbal communication skills and the ability to effectively communicate logic and implementation plans to team members and managers.
• Self-starter, quick learner, and detailed and thorough.
• Experience in payment processing is a big plus.

• Company: Japanese IT Services Organization
• Location: Tanjong Pagar/ Telok Ayer (Nearest MRT Station)
• Position: Data Analyst (Job ID: 19309)
• AWS + Variable Bonus
• Opportunity for career growth for entry level candidate

Job Description:

This role will work onsite within the client office and will be involved in Data Analyst projects with chance for exposure to various IT projects for skillsets growth.

Job Requirements:

• Min Degree in related background in IT
• Experience in financial/Trading mechanics is a plus
• Experience with API data, preferably Bloomberg, is a bonus
• Experience in Visualization (PowerBI/Tableau) is a plus
• Open to learn and expose to new technology and IT projects

Interested applicants please apply directly with your latest resume for further shortlisting.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

EAs will be required to collect the personal data (e.g. NRIC number number for overseas candidates) of applicants referred to employers for permanent or contract job positions of at least six months with a fixed monthly salary of S$3,300 and above.

PDPA requirements on collection, use, and disclosure of personal data would not be applicable to EAs that are collecting such information as it is a regulatory requirement by Ministry of Manpower.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Jeffrey Koh Kok Ann

EA Registration No: R1770345

Pasona Singapore Pte Ltd

1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246

EA License No:90C4069

Our client, a global leader in real estate and workplace management, is seeking a skilled professional to manage critical facilities operations (Data Centers). This role involves leading preventative and reactive maintenance programs, ensuring statutory and contractual compliance, and overseeing the operation of plant, mechanical, and electrical systems. You will address critical failures, coordinate with the Engineering Team, and manage a multidisciplinary team of staff and vendors to uphold operational excellence.

If you are successful in this role, you will enjoy the following:

• Competitive salary and benefits package
• Opportunity to work in a renowned real estate firm globally
• Collaborative and dynamic work environment
• Professional development and growth opportunities

Key Responsibilities:
- Manage site operations, including hiring, training, and developing site technicians and maintenance teams.
- Ensure compliance with KPIs, uptime requirements, and financial targets using the CMMS platform.
- Conduct site reviews covering maintenance, equipment, security, Tier adherence, and operational risks.
- Oversee subcontractor activities to ensure quality, timely completion, and regulatory compliance.
- Monitor contractor performance and address any gaps against contractual standards.
- Lead meetings with contractors and vendors to maintain performance and implement improvements.
- Support statutory compliance, asset updates in CMMS, and effective documentation for asset management.
- Provide engineering advice and ensure incident management aligns with approved procedures.
- Participate in client meetings and support continuous improvement initiatives.

Key Requirements:
- Tertiary qualifications in mechanical, electrical, or operational engineering.
- Minimum 3 years of experience in Tier III or equivalent data centre or critical facility operations.
- Strong problem-solving, communication, and interpersonal skills.
- Relevant data centre certifications and experience with continuous improvement practices.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

JOB SUMMARY

• In Standard Chartered Bank’s Corporate & Investment Bank (CIB), we aim to be digital-first and data-driven, delivering enhanced client experiences, driving new wallet share and realizing untapped client value and market opportunities.
• Part of Transaction Banking (TB) Digital Channel Solutions, we are building a complete end-to-end, digital-first client journey from onboarding, transacting to servicing and reporting. We are passionate about developing and delivering Best in Class digital client experience through consistent, well designed, contextual user journeys across all our client touchpoints such as the web and mobile.
• The role Director, TB Data Analytics is part of Digital Channel Solutions team based in Singapore. Our Straight2Bank digital platform serves our global clients across our 45+ footprint markets. You will be responsible for data solutions to enable our Transaction Banking business, operations and technology teams, execute on it through disciplined product development, laser-focussed on delivery and time-to-market. You will collaborate with a cross-functional team of product managers, designers, engineers, and other stakeholders to deliver data analytics solutions to external clients via Straight2Bank, as well as to internal Transaction Banking business teams.
• This role reports to the Global Head, CCIB Digital Platforms and Products. We are building big data solutions for datasets in channels, payments, collections and clearing business where we have millions of transactions daily.
• The role requires close partnership with Product and Sales teams, Operations and Technology, and risk owners such as legal and compliance globally.
• To be successful, you will internalise complex information about products and services to make them understandable to real humans and manage delivery of these features under the agile framework.
• The role would be suited to a candidate having experience in data analytics, data engineering, and focussed on delivery of solutions that help business take decisions fast.
• Proven track record in building and deploying analytics solutions in Banking or Financial Services that have created significant value for customers and additional revenue based on new business models.
• Numerate and strong in data analytics and modelling using statistical methods and algorithms, including regression, classification, and clustering.
• Since this role is fully focused on solving problems for customers and business alike, it requires empathy and business understanding in equal parts.

RESPONSIBILITIES

Strategy

• Partner with the Analytics Consumers (i.e., Product, Sales Ops, CSG) and Data Product Leaders and Executive Leadership to ensure solutions alignment business and Go-To-Market (GTM) priorities.
• Influence a data-driven goal and direction for technology, solutions and use case priortisation.
• Understand the use cases (roles, personas, pain points) to drive data strategy and product vision in alignment with Business Stakeholder needs and Bank’s overall data strategy.
• Create a single, prioritized backlog to ensure data engineering / tech resources are deployed to solve right problems and enable trade off discussions.
• Collaborate with Product Leadership and technology teams to gather and synthesize user feedback, driving product improvements and removing barriers to business generation.

Business

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Engage with stakeholders to gather business needs, translate them into technical solutions, and lead the prioritization of deliveries in alignment with business goals.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
• Collaborate with Data Engineers to ensure the data architecture supports business needs and work with Data Analysts to deliver actionable insights that can be effectively utilized by stakeholders.
• Build and automate intuitive dashboards that help visualize and answer complex business problems.
• Work with Data Scientists to develop and implement AI/ML algorithms, statistical use cases and rapid prototypes from big data sets to drive revenue generation activities for sales, products and supporting CSG and Ops teams.

Processes

• Establish a minimum SLA with tech on data quality and monitor effectiveness metrics
• Lead engagement with PMO teams and respective forums for your workstream
• Lead resources and financial management of your respective workstream

People & Talent

• Work with Engineering and Analytics teams to develop and motivate a team of engineers based in Bangalore and Chennai in the areas of focus and assist in the delivery of use cases.
• Empower, manage, coach and guide teams to deliver on timely outcomes and ensuring quality of code and rigour in analytics output.
• Encourage the team to strengthening skills through relevant training, learning and development activities.

Risk Management

• Ensure alignment of risk management aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

Governance

• Ensure alignment of compliance and governance aspect for all deliveries and conducting themselves in line with the Bank’s standards, policies, and procedures

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Cash, Trade Product and Sales Team
• Chief Product Owner, S2B Trade
• Chief Product Owner, S2B Cash
• Technology, COO and Other Support Functions
• Specialist Data Scientist and Analytics Teams

Our Ideal Candidate

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
• 8 plus years’ experience doing quantitative analysis.
• Fluency in SQL and Python.
• 4 plus years’ experience leading product analytics and influencing product roadmap
• Experience understanding ecosystems, user behaviours and long-term product trends.
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
• Analytical mind with ability to translate business problems and requirements into analytics solutions.
• Knowledge of banking products and the overall industry a strong plus
• Good verbal and written communication skills.
• Self-motivated with ethos of excellence.
• Ability to work independently but also in teams.
• Proficiency across the core analytics toolsets (SQL and or Alteryx, Dataiku) for ETL and working in Big data environment of Hadoop.
• Very strong experience in Python to build Statistical and ML models and knowledge of writing python functions to automate work.
• Knowledge of data visualization tools (Tableau) is preferable but not a must.

Role Specific Technical Competencies

• Data Analysis
• Microsoft Excel and Powerpoint
• ADO
• Programming Language - Python
• SQL
• Java Script
• Agile Product Owner

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Summary of the role

The Data Center Operator assists in performing routine tasks associated with operating mainframe and nonmainframe (distributed environment) tasks in accordance with detailed instructions.

Responsibilities

• Monitoring server console.
• Mounting cartridges in cartridge libraries.
• Maintaining software applications, operating systems and regular maintenance.
• Assist in transport, backup cartridges and disks to offsite locations.
• Monitor the security cameras.
• Coordinate all works in the Data Center.
• Troubleshoot and escalate on batch job failures and assist in fixing these problems.
• Daily IT Operations tasks, e.g. shutdown of specified databases and application jobs, initiate backup, etc.
• Data Center environmental monitoring, e.g. ensure the Air Con environment is in a healthy state.
• Any other duties as assigned by management.

Requirements

• May require to work on shift.
• Recognized Diploma in Electrical / Electronic / Computer Engineering / Information Systems.
• At least 3 years’ experience in Data Center Operation.
• Basic knowledge on Windows Server 2003/2008/2012 operating system.
• Basic knowledge on Unix and Linux operating system.
• Basic knowledge on virtualization technologies (Vmware ESXi, Microsoft HyperV).
• Basic knowledge on network infrastructure.
• Basic knowledge on batch jobs scheduling tools.
• Possess excellent oral and written communication skills.
• Good customer service aptitude, and strong work ethic.
• Self-driven and able to work independently.

§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok‘s sponsorship of a visa.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The R&D team is responsible for the platform development of TikTok and its affiliated companies, dedicated to building advanced and user-friendly infrastructure platforms to enhance the efficiency and satisfaction of internal R&D staff when using the infrastructure. Our products include a Cloud Platform, PaaS Platform, FaaS Platform, Gateway Platform, Middleware Platform, Storage Platform, Site builder Platform, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What You Will Do:

1. Participate actively in the recruitment life cycle, which includes sourcing, screening and engaging top talents.
2. Support strategic talent-mapping, market research projects and deliver insights to business leaders to support business growth.
3. Support new projects, and/or optimize current processes to improve efficiency and effectiveness.
4. Achieve a holistic business understanding through collaborating with cross-functional and regional teams.
5. Support HRBP in any other general HR-related work and/or projects.

Minimum Qualifications

1. Final year or recent graduate in HR or a related technical discipline.
2. Oriented with a passion for learning and development, and full enthusiasm for human resources-related work.
3. Demonstrated understanding of the internet industry, previous work, or intern experience in HR is highly valued.
4. Strong sense of responsibility and interpersonal skills, a team player, and enjoys working with others in a collaborative, social environment.
5. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

For TikTok

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

At Klook, we love creating moments of joy. Our platform connects people around the world with experiences that bring a smile to their faces, at a touch of a button. We are a global team of diverse Klookers who push boundaries every day, learn fast with feedback and take ownership to drive the change we want to see. Together, we help each other make the world a more joyful place. Up for the challenge? Join us today!

What you’ll do:​

• Partner with non-technical stakeholders to understand their analytical needs, help confirm data metrics and build data frame by asking the right questions, document and prioritize requirements
• Design, write and support extract, transform, and load (ETL) processes of user tracking data (e.g. customer lifecycle, segmentation and migration), deliver insightful data findings for business success
• Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
• Support gathering of additional data for ad-hoc analysis as needed
• Recommend different ways to constantly improve data reliability, efficiency, and quality

What you’ll need:

• BS/MS or higher degree in mathematics, computer science or other technical/quantitative discipline
• Proficient with database management and analytic tools and languages supporting data analysis and reporting - SQL, Python, R, and Excel
• Experience with BI tools such as Tableau / Power BI
• Excellent verbal and written communication skills, including the ability to communicate complex data findings in a structured and clear manner to a non-technical audience
• Self-starter and entrepreneurial spirit with hands-on approach towards business

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Position Start Date: 1st January 2025

Responsibilities:

Key duties and responsibilities include, but are not limited to:

1. Application Development

• Analyze the needs and requirements, plan and execute application-related bug fixings, enhancements, or new projects, including testing, provisioning, training and deployment of new solutions and applications.
• Document IT solutions and applications design and configuration and keep the documentation up to date for operational reference.
• Assist with user onboarding and training on new applications.

2. Application Support:

• Provide technical support to staff and students regarding the school's various applications, including learning management systems (LMS), student information systems (SIS), and administrative software.
• Troubleshoot technical issues related to application access, functionality, and performance.
• Manage access and permission to IT applications and ensure only authorized users have access to IT solutions and data.

3. Data Management:

• Manage and maintain the school's student data, ensuring accuracy, integrity, and security.
• Generate reports and data visualizations to support informed decision-making by school administration.
• Assist with data migration projects and ensure compliance with relevant data privacy regulations.

4. System Administration & IT Support:

• Perform basic system administration tasks for applications and data storage systems, ensuring system uptime and availability.
• Install, configure, and maintain application software and related tools.
• Monitor system performance and identify potential issues.
• Provide IT support and solutions to end users within the school and provide AV support to teachers in classroom projection systems, Smart TVs and Audio Systems.
• Assist in troubleshooting (First Level) laptops and PCs. Analyses and recovers system when malfunction occurs or alerts the respective vendor for repair or replacement of affected parts if the item is under warranty.
• Perform other duties as directed by the Head of Information Technology or such people as the School may designate

Qualifications:

The eligible candidate must have:

• Bachelor’s degree in information technology, Computer Science, Data Analytics, or a related field (preferred).
• Good knowledge in the System Development Life Cycle (SDLC) and methodologies such as Agile and Waterfall in software development and project management.
• Past experience or exposure to applications and platforms, including school management solutions (e.g., PowerSchool, iSAMS, Firefly) and Microsoft Dynamics and Talend Data Integration Platform.
• Experience with data analysis tools (e.g., Excel, Google Sheets) and potentially programming languages (e.g., Python, R) for more advanced data manipulation.
• Experience in integrating different platforms such as PowerShell, Phyton, .NET, Java, SQL Server Integration Services, and Reporting Services in an International school environment will be preferred.

Responsibilities:

1. Assist in managing and analysing data assets, ensuring data quality and accuracy.
2. Collaborate with teams to understand data needs and contribute to data solutions and projects.
3. Utilize data analytics tools and techniques to assist in deriving meaningful insights.
4. Support data visualization efforts to communicate findings to stakeholders.
5. Participate in data governance and compliance initiatives to uphold data security and privacy.
6. Contribute to the documentation of data processes and procedures.
7. Stay informed about industry trends in data analytics and best practices.
8. Provide support in data-driven business planning and performance enhancement.

Qualifications:

• Bachelor's degree in Software Engineering, or a related field.
• Minimum 5 years of experience or understanding of data analysis, data management, and data visualization.
• Hands on experience with data analytics tools such as SQL, Python & Coding
• Good problem-solving and analytical skills with an eagerness to learn and grow.
• Strong attention to detail and organizational abilities.
• Collaborative mindset and willingness to work in a team-oriented environmen

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://sg.go.persolkelly.com/job/apply/10579

We regret to inform that only shortlisted candidates will be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance, and skills upgrading services, and partnering with employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nationwide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use, and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

Position: Data Processing
Department/Location: Novena Square
Working Hours:

• Monday to Thursday: 8:30 AM to 6:00 PM
• Friday: 8:30 AM to 5:30 PM

Position Duration: 4 months (starting February 2025)

• Job Responsibilities:
• Collect and compile data from various web applications.
• Clean and organise raw data to ensure accuracy and completeness.
• Perform basic data analysis tasks.
• Create and maintain databases.
• Generate routine reports and data visualisations.
• Assist in interpreting data and identifying trends for actionable insights.
• Support team members in reviews and analyses based on data insights.
• Contribute to research projects conducted by the team.

Requirements:

• Proficiency in Microsoft Excel.
• Familiarity with data analysis tools.
• Strong attention to detail and accuracy.
• Good problem-solving skills.
• Effective written and verbal communication skills.
• Ability to meet deadlines and manage multiple tasks efficiently.

This role is an excellent opportunity to gain hands-on experience in data processing and analysis. If you meet the requirements and are available for the stated duration, we encourage you to submit your application promptly!

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

• Being a trusted advisor, guiding our clients towards a successful solution to their data challenges.
• Taking part in early engagement to help create a compelling vision of an Agile, data-driven organisation.
• Guiding and de-risking the delivery of data projects, promoting working iteratively to incrementally add value. Mediating, resolving conflicts and escalating when necessary.
• Supporting cross-functional data teams delivering data platforms, products and services in the cloud and in clients’ data centres.
• Helping stakeholders define both functional and non-functional requirements and ensuring solutions meet these requirements for performance, scalability, availability, security, and manageability. and sustainability
• Aligning work across the client’s organisation and their data strategy, taking a key role in choosing appropriate technologies, preparing performance and cost estimates for various use cases.
• Providing expertise on data privacy and information security topics whilst keeping up to date with relevant legislation e.g., GDPR, ensuring our clients’ regulatory compliance.
• Building capability in the architecture community and collaborating with other data roles such as other Architects, Data Engineers, Data Analysts and Data Scientists (i.e. providing guidance, support, and knowledge-sharing opportunities through forums and talks)
• Keeping yourself technically sharp, being open to learning new and emerging technologies, approaches and paradigms
• Mastering the big data world and help our customers to make their own data fit for business or operational purpose, whether in the Cloud or in their own data center.
• Leading data and devops engineers within your teams
• Working collaboratively with colleagues and clients, be it onsite, in the Zuhlke office, or from home.
• Designing data pipelines.
• Travelling to various Zuhlke locations, e.g. in mainland Europe, for project work or for developing competencies across the Zuhlke group.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented.

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Bachelor's or Master's degree in any field

· Professional fluency in both written and spoken English

· Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

Desirable Qualities:

· Previous work experience related to with B2B ERP/TMS systems

· Previous work experience related to container shipping, freight forwarding, or maritime logistics

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Quality Engineer/Analyst

Internal Code: A24122

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .