Total 199 data entry job vacancies in d15 katong joo chiat amber road

Role:Data centre Operation

Job Description & Requirements

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

We are seeking a highly skilled and experienced Solution Architect – Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

Responsibilities:

• Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data analytics solutions, and create architectural diagrams and documentation.
• AWS Expertise: Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms.
• Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
• Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
• Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
• Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
• Troubleshooting and Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
• Collaboration: Work closely with data engineers, data scientists, business analysts, and stakeholders to understand their needs and provide technical guidance.
• Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data analytics capabilities.
• Proven experience (3+ years) as a Solution Architect or similar role, with a focus on data analytics and AWS cloud technologies, and experience and knowledge on Microsoft Azure Data Analytics technology is a plus.
• Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.
• Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles.
• Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
• Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
• Strong communication skills to effectively collaborate with technical and non-technical teams.
• AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.
• Experience in working with Agile methodologies and version control systems.
• Proven ability to work independently and manage multiple priorities effectively.

Education and Certification

• Bachelors or associate degree in IT discipline
• Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must.

Make an Impact by

• Design and develop Electrical systems for new and existing data centers, including but not limited with MV/LV power distribution, backup power, Earthing &lightning protection systems, Load balancing & distribution, lighting& emergency lighting , acoustic design , cable containment systems, T&C procedures.
• Select and procure electrical equipment, ensuring it meets safety standards and performance requirements.
• Perform calculations to determine power requirements, equipment capacities, and circuit loads.
• Critical Data Centre equipment design including EHT Transformer, Switchroom bay, Ring Main Unit, Transformers, Uninterrupted power supply, Batteries, Switchboard, Automatic/Statis transfer switch, Busduct, End Feed Unit, Tap Off Unit, Standby Power Generators, etc. Sequence of Operations, Control Systems, Fire Detection/Suppression systems, DRUPS, fire protection, plumbing and sanitary system.
• Collaborate with the core team to understand, develop and update the data centre mechanical designs, starting from basis of design (BOD), feasibility study, concept and detailed design development to issue for constructions (IFC) documents, for new data centre project buildouts and major infrastructure upgrades to all levels of testing and commissioning works.
• Update and maintain the internal design specifications, drawings, and standards in accordance with the latest configurations and including all 'lessons learned' in relation to all equipment. Perform design and equipment submittal review for new Data Centers.
• Evaluate the design& construction and operation of mission-critical facilities and associated MEP components.
• Liaise with internal business units and external customers for technical requirement to translate into executable plan for implementation by consultant and/or contractor.
• To Participate and Review Data Center MEP Design and other necessary disciplines for new data center builds and data hall fitouts.
• Create data hall layout plans and perform test fits to validate server capacity plans and failover calculations.
• Evaluate facility processes and industry best practices to drive efficiencies and effectiveness in the Electrical Power line up.
• Perform technical design reviews and proposal for data centre first of kind systems and equipment.
• To continually find ways to collaborate and break new ground to enhance MEP design to meet future needs. Develop innovative solutions.
• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
• Support the DC Engineering FM team to become a Subject Matter Expert and understand how to overcome design limitations and risks.
• Interface with internal stakeholders to promote standards that maintain consistency and reliability in services delivered.
• Liaise and assist Operation team to identify/understand Electrical System issues and provide solutions.
• Review data centre commissioning scripts to ensure they accurately test all modes of operations. Witness key commissioning tests on site.
• Conduct site inspection and work with onsite field engineers, as well as provide engineering evaluations, mechanical systems audits, and start-up as needed.
• Continually maintain positive and collaborative working relations with partner teams, vendors, teammates, and internal customers.

Skills for Success

• Bachelor’s degree in Electrical Engineering or relevant discipline.
• Minimum 5 years of mission critical design experience and end to end Electrical design experience from Extra High Tension to Low Tension in AC and DC System in mission critical design, construction and operations.
• Knowledge of large-scale mission critical facility’s Electrical infrastructure systems.
• Experience with fast-track design/build projects and or multiple significant upgrade projects.
• Fundamental knowledge in Electrical Power load flow, Fault analysis and Protection in the Electrical Power System.
• Ability to incorporate Renewable Energy System to the Distribution Network and strong understanding of Electrical codes and standards.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Attention to detail and a commitment to safety.

To Apply:

Please send your latest CV in word file to [email protected]

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: http://quinnox-solutions.com/c...

Quinnox Solutions Pte Ltd (License Number: 06C3126)

Registered EA Personnel (Reg. No.R21103082)

Role:Data Engineer/Design Patterns

JD:

Data Models and Governance

The Data Models and Governance team is comprised of experts in ensuring Global Markets businesses use a governed transaction data model with robust standards and controls that can be used as a common trusted source. We leverage modeling, analytics, data visualization and trading tools. We are expected to maintain an in-depth understanding of the financial terms, risk management, and trade processing flows for a wide range of products, models and asset classes offered by the firm. This presents a highly visible platform to use your skills and knowledge on challenging and strategic projects to make a direct impact to the firm’s bottom line and speed of business execution.

Responsibilities

* Leverage firm’s APIs and tools for financial terms representation

* Build highly-scalable data models catering to booking and post-trade processing systems

* Maintain strict governance and standards on the usage of transaction data and models

* Partner with Trading and Strats for effective risk management of front to back

* Collaborate efficiently within a diverse global team and stakeholders set in business and federation

* Work in a fast-paced, high-pressure environment as a self-starter

Basic Qualifications

* Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering.

* Knowledge about popular design patterns and algorithms

* Knowledge of at least one derivative asset class

* Programming skills in a major programming language

* Efficient and effective communication skills

* Strong quantitative and analytical skills

* In-depth knowledge of systems, tools, processes of one derivative asset class

* 2-3 year experience working in OTC derivative function

Preferred Qualifications

* Knowledge of SQL and databases

* Knowledge of more than one financial asset class

* Awareness around Derivatives Regulatory Reforms

Who We Look For:

An ideal candidate would have strong a strong technical background and problem solving skills, drive to investigate problems and generate new ideas, and the judgement to deliver quick yet robust solutions.

PRIMARY RESPONSIBILITIES

• Take a lead role in partnering with our clients to understand their business challenges and develop holistic analytical solutions
• Translate business requirements into quantifiable metrics.
• Design data acquisition strategies and ensure that the datasets we are collecting meet our clients' requirements and follow good governance practices.
• Prepare and integrate client datasets, analyzing data sources for insights.
• Design dashboards and presentations that tell clear stories, create ad hoc reports that deep dive into business opportunities and discovering valuable audiences and segments that contributes significantly to our clients business.
• Propose performance optimizing hypothesis and A/B test recipes across digital platforms to improve customer experience for audiences and segments with statistically confident results.
• Share observations and recommendations with our clients and inspire and educate them to become better in maximising the value their data give them.
• Build processes to effectively create and scale our delivery of data and analytics insights
• Constantly sharpen your skills across the best-in-class data technology stacks that we adopt, new data analysis techniques and be on top of industry trends to deliver effective consultation.
• Acquire required certifications and complete training as per identified by Head of Customer Intelligence
• Mentor and develop junior members of the team
• Contribute to the development of content that builds thought leadership for the company
• An associate analyst role may be offered depending on your experience.

Quantexa Data Engineer

About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service.

We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform.

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Why join us?

You will have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Description

· Answering telephone call, taking messages, receiving incoming faxes and mails

· Coordinate internal and external meetings with business partners, shareholders, clients, suppliers and others

· Manage diary for Management/employees including meetings, conferences, video conferences and other events and reminding them of important tasks and deadlines

· Receiving office guests to meeting room and arrange food catering (if needed)

· Coordinate travel arrangements, including booking flights, visa, car rental and hotel accommodations, travel itineraries and completing expense reports for reimbursement after the trip.

· Perform general research work including preparation of background documents (e.g., preparation of presentation slides, drafts of simple correspondences, and background information for appointments; consolidate relevant data; generate reports, etc.).

· Establish, maintain, and ensure the timely update of the correspondence filing systems (both hard and soft copies)

· Liaise, draft, comment, review, edit and send contracts and agreements on behalf of Management (if needed)

· Assist with general administration support such as processing correspondence and letters, photocopying, printing, scanning, typing, couriers, maintaining contact databases, post and others

· Office maintenance (including pantry ordering) and repair

· Perform any other ad hoc duties where required

Job Requirement

- Excellent communication skills in English

- Ability to work independently combined with excellent interpersonal skills

- Strong organization, problem solving and time management skills

- Proficient in Microsoft office skills

- Ability to handle sensitive business data and other information with confidentiality and discretion

- Must be comfortable in a fast-paced international environment with multiple languages & time zones

Join Our Team at Thatz International Pte Ltd

Are you ready to embrace the new opportunities in the ever-evolving landscape of technology? At Thatz International Pte Ltd, we are committed to identifying exceptional talents to drive the growth of our Next-Generation ICT Engagement and Consultancy (Thatz2.0) or Outsourcing business in the new norm. If you're passionate about leveraging technology to make a difference, we want to hear from you!

With a track record of success since 1998, we prioritize Quality, Speed, and Technology to ensure the perfect match between candidate and job opening.

Our CORE VALUES:

· Integrity

· System

· Consistency

· Forward Looking

· Humanity, and

· Environmental Friendly

L1 Data Center Engineer

Job Title: L1 Data Center Engineer

Work Location: Downtown Core, Singapore

Job Type: 2 year contract, subject to renewal

About the Role:

The Data Center Engineer will oversee the optimal performance and maintenance of Data Center and ELV operations, including network cabling, IT hardware installation, and environmental monitoring. Your role includes managing Data Center infrastructure, responding to incidents, and ensuring compliance with service standards and agreements.

Primary Responsibilities:

· Perform facilities management related tasks in relation to the Data Center and/or Extra-Low Voltage (“ELV”) operations, including but not limited to structured network cabling, cable tracing, patching of cable and rack management, infrastructure and Data Center capacity planning.

· Responsible for the design and installation of structured network cabling, cable tracing, patching of cables and rack management in respect of infrastructure cabling used by the surveillance network.

· Responsible for the installation, removal, testing and labeling of all cross-connect cables (for e.g., cat6 cables, coax cables and fiber cables etc.).

· Responsible for the installation, re-location and removal of cabinets, racks, devices and other IT equipment inside the Data Center and ELV rooms.

· Responsible for the installation of IT hardware, including network switches, servers, shelves, intelligent Power Distribution Units (“iPDU”), rails, cable management and other IT equipment in the Data Center and ELV rooms.

· Maintain the cleanliness of the Data Center and ELV rooms.

· Liaise with the Facilities, Security and Surveillance teams to ensure optimal operation of electricity, heating, ventilating, air-conditioning and monitoring environments within the Data Center and ELV rooms.

· Responsible for the configuration and management of Data Center equipment, including IP Kernel based Virtual Machine, iPDU and Data Center Infrastructure Management (“DCIM”) software.

· Maintain and update DCIM software to the latest version.

· Monitor and manage the physical health of the network and server environments.

· Follow established processes used by the Data Center operations (“DCO”) team, participate in regular process review and maintain service standards as defined in the relevant Operational Level Agreements/ Service Level Agreements.

· Respond to priority 1, 2 and 3 incidents following the standard incident response procedures and assist with the resolution of such incidents.

· Manage and handle ticket management and queue monitoring (i.e. incident, service and change requests) for network and systems queues.

· Providing project support, including but not limited to updating timesheets, and updating and maintaining DCO team documentation.

· Any other ancillary tasks or works as and when requested and assigned by the Company.

Job Requirements:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum of 3 years’ hands-on experience in providing Data Center support.

· Minimum of 1 years’ experience in providing Windows and Unix support.

· Ability to work independently with minimal supervision.

· Able to communicate messages clearly and concisely.

· Ability to maintain high-quality performance and constantly deliver results in a timely manner.

· Required to undergo Casino Regulatory Authority (CRA) checks.

How to Apply:

Ready to join Thatz? Send your resume to [email protected].

Shortlisted candidates will be contacted.

Equal Opportunity Employer:

We are committed to fair employment practices and consider all applications based on merit. We encourage diversity and do not discriminate based on race, religion, gender, or any other characteristic.

Data Protection:

Your privacy matters to us. By applying to this job advertisement, you consent to the collection, usage, and/or disclosure of your personal data in compliance with the Personal Data Protection Act.

Our Associate Recruitment Company:

Established in the Year 2000, Thatz Resources Pte Ltd(Agency License No. 04S4557) has been dedicated to matching top IT talent with our clients’ needs across all levels.

Stay Connected:

Follow us on Instagram, Facebook, LinkedIn, and Telegram to stay updated on our latest offerings and industry insights. Join our online community to explore endless possibilities with us!

Instagram: https://www.instagram.com/thatz_international

Telegram: https://t.me/EmployMebyThatz

Facebook: https://www.facebook.com/profile.php?id=100091735044533

LinkedIn: https://www.linkedin.com/in/thatz-recruiter-25234548

Stay Safe and Healthy!

Take care of yourself and those around you.

1. Architectural Design and Strategy: Develop and maintain an enterprise-wide data architecture strategy, ensuring alignment with the business's long-term goals and objectives. Create scalable, efficient, and flexible data models that support the organization's data needs.
2. Data Governance and Management: Establish and enforce data governance policies and procedures.
3. Data Integration and ETL: Design and implement data integration strategies and ETL (Extract, Transform, Load) processes. Ensure seamless data flow across various systems and platforms.
4. Stakeholder Communication: Regularly communicate with stakeholders to understand their data needs and translate these requirements into technical specifications.

Responsibilities:
1. Partner with business stakeholders across various departments to define and translate business needs into actionable data-driven strategies.
2. Source data from SAP and convert it to SQL or pyspark messages; build the logic for the data extraction, analysing the SAP transaction data related to required information.
3. Ensure data accuracy, consistency, and completeness of data replication between SAP and Microsoft Azure
4. Perform deep analysis of SAP data utilizing advanced SQL queries and data mining techniques to identify anomalies and ensure data integrity.
5. Develop, and implement complex data extraction, transformation, and loading (ETL) processes using SAP technologies and tools (e.g., SAP Business Warehouse, SAP HANA).
6. Highlight technical flaws and suggest data quality initiatives, and data governance best practices to optimize data management and accessibility within the organization.

Skillset:
• Minimum of 10 years of experience in data analysis and reporting, with a strong focus on SAP data.
• Strong SQL querying skills and proficiency in data manipulation techniques.
• Proven expertise in SAP data management technologies, including SAP Business Warehouse, SAP HANA, and SAP BW/4HANA.
• In-depth knowledge of data warehousing concepts and ETL processes.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Strong communication and collaboration skills with the ability to effectively translate complex technical concepts to non-technical audiences.
• Ability to work independently and manage multiple projects simultaneously while meeting deadlines.

JOB DESCRIPTION

NeoXam APAC is looking for an experienced and motivated Support Lead who will support our APAC clients, presales and services team, and working closely together with the R&D team. This role is based in Sydney or Singapore. He / she will join an APAC team of experienced consultants and participate in support and optimisation of NeoXam solutions:

• NeoXam DataHub: the most comprehensive, efficient and customizable solution for centralized data management available on the market. The solution acts as a hub, a central repository and a user oriented data management tool for data used or produced by financial institutions.

• NeoXam IBOR: a uniquely independent and flexible Investment Book of Record, designed to provide Asset Managers with a single, comprehensive, and robust source of continuously up-to-date positions, valuations and forecasts, with increased quality, under multiple views.

• NeoXam Impress: an integrated solution for performance, attribution and reporting packs; flexible calculation methodologies including Modified Dietz, Brinson-Fachler; customizable workflows & templates to generate reports in corporate color themes, based on graphics and content; GIPS compliance. The solution could be standalone or connected to NeoXam Datahub & IBOR.

He / she will be responsible for APAC of NeoXam Follow the Sun offer and will manage a small support team with people located in different locations within APAC.

RESPONSIBILITIES

• Be the liaison of the software development teams located in the companies HQ in France, and to manage APAC support.
• Be with his/her team, the first technical point of contact for NeoXam’s clients in APAC and provide product support expertise.
• Be the technical support for the sales consultancy team in the sales phase, and to consultancy team during the project implementation phase.
• Managing the internal copies of the client environments.
• Performing the first level of analysis: anomalies, technical evolutions, reproduction of problems.
• Be responsible to solve client issues from the first analysis and reproduction to the development of a software fix in Java and the management of support tickets.
• Be responsible with the software support team to document Datahub knowledge and features from a software support point of view.
• Manage the day-to-day work of the APAC Support service (taking over new support tickets, participating in conference calls, relationship with other teams…).
• Manage performance optimisation request from Customer or Project in link with R&D team if required.
• Lead Cloud discussion and customer migrations.
• At a later stage, be responsible to develop and deliver fixed and enhancements in Java.
• Manage technical installation or upgrade of the solutions.

PROFILE

• Engineering/Computing School, Degree / Master’s degree or equivalent.
• Minimum of 10 years of working experience with Financial software implementation and/or support and IT Projects in the banking / financial industry.
• Minimum of 2 years of team management experience.
• Knowledgeable in: XML APIs, Webservices (SOAP/REST), Web Application servers (Tomcat/JBoss/Webphere), Messaging, HMI SWING or SWT, OS (Unix and Windows), DBMS (Oracle, or SqlServe).
• Knowledgeable in development tools (Eclipse...) and the Scrum/Agile methodology.
• Knowledgeable in versioning tools like Git.
• Knowledgeable in Unix commands.
• Ability to do peer reviews and assess code.
• Ability to analyze, design and develop software with high operating constraints (robustness, performance, etc.).
• Independent, with own initiative and good interpersonal skills and are concerned about the quality of service provided.
• Proactive and a real team player.
• Fluent in English.

There will be occasional travel requirements within APAC.

The position requires rigour, tenacity, patience, ability to sometimes handle the pressure from clients, and a good ability to communicate and promote best practices.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office Integrated Information Technology Services (IITS).
• Data Champion
  • Act as a data champion, inspiring and leading others in embracing a data-driven mindset.
  • Provide insights, best practices, and contribute to the development of a data-centric culture.
• Training Program Design
  • Design and develop training programs tailored to meet the needs of various business units.
  • Create engaging and effective learning experiences to enhance data literacy across SMU.
• Training Content Curation
  • Curate training content covering data policy awareness, analytics tool fluency, analytical techniques, and data glossary understanding.
  • Ensure content aligns with industry best practices and evolving data trends.
• Training Material Development
  • Develop comprehensive and visually appealing training materials, including presentations, manuals, and interactive resources.
  • Utilize creative thinking to design materials that enhance the learning experience.
• Training Delivery
  • Conduct engaging and interactive training sessions for diverse user audiences.
  • Ensure that training sessions are aligned with SMU goals and objectives.
• Collaboration and Organization
  • Work collaboratively with relevant stakeholders to identify training needs and customize programs accordingly.
  • Organize and coordinate training sessions, ensuring seamless delivery and participation.
• Feedback Collection and Continuous Improvement
  • Implement feedback mechanisms to gather insights on the effectiveness of training programs.
  • Continuously monitor and adjust training content and delivery methods based on feedback and emerging trends.
• Team Management
  • Take ownership and support team and while holding team accountable for their commitments, removing roadblocks to their work.
  • Leverage organizational resources to improve capacity for project work.
  • Mentor and develop team members.

• Degree / Diploma in Computer Science, IT or related discipline.
• Minimum 3 years' experience in the design and development of BI solution with proficiency in data analysis and data processing.
• Proven experience in designing, curating, and delivering training programs in the data analysis space.
• Strong understanding of analytics tools, techniques and data governance.
• Hold a recognized trainer certification in data analysis, education, or related fields is an advantage.
• Passionate in advocating data literacy and awareness to achieve business success.
• Excellent communication and presentation skills, with the ability to make complex concepts easily understandable to diverse audiences.
• Resourceful and able to work independently, demonstrating strong planning, organizational, and problem-solving skills to manage competing demands.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Role Summary

You will be part of a young and dynamic data team working in a cross-functional team environment to build up and support our investment data warehouse. The data warehouse will have a set of investment and market data that is used by investment managers and risk professionals in their investment reporting and analysis. This role will report directly to the Head of Data Strategy & Management.

The warehouse’s data assets will be built up incrementally starting with a set of risk data used in the investment risk dashboards.The data analyst will be part of the team overseeing the day-to-day data operations and working with cross-functional teams to build up new datasets and ensuring data quality and compliance with relevant standards and best practices.

Join us if you have a passion for building quality data assets and capabilities that improve process efficiencies, drive investment insights and reduce operational risks. The ideal candidate will have a passion for data with a good working knowledge of investment data and data management skillsets such as designing & implementing data models & quality rules and analyzing complex data. You will work with SQL, Excel and relational databases on data analysis, pipelines and operations. Having additional experience in Snowflake, Python programming language for data pipelines and/or BI tools for implementing dashboards and reporting will be advantageous.

Key Duties and Responsibilities

As a data analyst/ steward in the data team for our investment data warehouse, you are expected to:

• Work closing with business teams to drive, implement and deliver changes and/or new investment data assets and solutions.
• Leverage on good understanding of investment asset class domain knowledge, business processes and data usage in delivering data model design, quality rules and solutions.
• Drive a scalable data model leveraging on design best practices, with clarity on data definitions and usage.
• Drive synergy across different business units for common solutions on similar data needs.
• Influence business processes and workflows to align with data quality management, data definitions and usage.
• Work closely with data engineers in the delivery of data pipelines and ensure system performance meets business SLAs.
• Enable data quality management with data quality rules and operational processes and monitoring.
• Support BAU (business-as-usual) operational activities in data SLA and quality management, issues resolution, user data queries and guide effective and efficient use of investment datasets in dashboards and reporting.

Education Qualification

• Bachelor’s degree in Data Analytics, Mathematics, Data Science, Business Analytics, Information Technology or equivalent discipline.

Experience and Skills

• 5-8 years of relevant experience in data management, implementing data pipelines and supporting data operations.
• Strong domain knowledge of investment data and their usage in both trade life cycle and investment analysis/ reporting.
• Good working knowledge of data management concepts, data quality rules and data models design & implementation.
• Hands-on experience using SQL, stored procedures, databases (Snowflake, Oracle) in building data quality rules and data transformations/ aggregations.
• Knowledge of Amazon S3, Python and Lambda programming for data pipelines’ implementation and/or tools for data visualization (MS PowerBI, Excel) will be advantageous.
• Strong team player and yet exhibit independence in driving and delivering business outcomes.
• Structured in thought process, with good attention to details.
• Fast and independent learner
• Strong written and verbal communication skills

Job Description

3 to 8 years of experience in data management, data analysis, user/business requirements analysis and enhancement, data analytics and visualization. Preferably within investment and banking industry.

Responsibilities:

· Proactively work with business (research analysts, quantitative strategist, end-users, etc.), understand business requirements to enhance our investment and research data solutions and strategies.

· Contribute, influence, and review the design of data solutions to ensure they meet both business and operational needs.

· Conduct requirement workshop with business and/ or users and analyse requirements holistically to enhance our investment and research data solutions and strategies.

· Plan, develop testing strategies and execute end-to-end user acceptance testing of system and data changes in data solutions.

· Set up, improve and streamline new or existing data operations process through analysing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) for continuous improvements.

· Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.

· ·Design quality metrics and monitor quality of enterprise datasets.

· Manage and maintain strong data provider relationship to ensure continuous support and knowledge for existing and future data needs.

· Good understanding of the principles, key controls, and processes relating to data management, as well as data modelling and data integration.

· Good at working with details and is meticulous for operations.

· Experience working with business intelligence/data visualization tool using Tableau and PowerBI.

· Familiarity with data warehouse, data models, data management tools, and data extraction such as SQL, Tableau, Python or R is preferred.

· ·Knowledge of using formulas/macros in Excel is advantageous.

· Experience in economics/finance related courses is preferred.

· Excellent written and verbal communication skills.

· Strong interpersonal skill to interact with diverse stakeholders.

· Agile, fast learner and able to adapt to change.

· ·Good team player, with strong analytical skill and enjoy complex problem solving.

· Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban..

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service.

We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform.

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Role Summary

You will be part of a young and dynamic data team working in a cross-functional team environment to build up and support data analytics capabilities and improve data-driven decision making. The analytics will derive insights from our investment data warehouse as well as any other external datasets for our investment managers and risk professionals in their investment reporting and analysis. This role will report directly to Head Data Strategy & Management.

The data analytics capabilities will be built up incrementally starting with a set of investment risk dashboards.The data analyst will be part of the team ensuring the smooth operations of the dashboards/reports and working with cross-functional teams to build up and maintain the data semantic layer and new dashboards/reports in compliance with relevant standards and best practices.

Join us if you have a passion for data and building data capabilities and visualizations that improve process efficiencies, drive investment insights and reduce operational risks. The ideal candidate will collaborate well with business teams to build up a strong understanding of the business insights & reporting needs. He/she will leverage on good working knowledge of investment data, data modeling & visualization skillsets to deliver analytics solutions on the required insights & reports. You will work with SQL, Excel, relational databases and BI tools on data analysis, visualizations and operations. Having additional experience in Snowflake, Python programming language for data pipelines will be advantageous.

Key Duties and Responsibilities

As a data analyst in the data team for our investment data analytics capabilities, you are expected to:

• drive, implement and deliver changes and/or new investment data dashboards & reporting.
• build-up a deep understanding of the various business teams’ processes and insights/reporting needs to identifying data requirements and investment dashboards/ reports needed.
• work closely with business teams and data owners/stewards to manage & deliver the pipeline of analytics data, dashboards and reports. Drive synergy across different business units for common solutions on similar needs.
• work closely with technology teams on delivery of data pipelines and ensure system performance meets business SLAs.
• develop best practice and design guidelines on building and maintaining analytics data, dashboards and reporting.
• explore and experiment new data tools and capabilities for provision of data analytics and insights discovery (AI/ML, NLP, Visualization etc).
• support BAU (business-as-usual) operational activities in analytics data & dashboards/reports SLA, quality management, issues resolution, user queries.
• manage BAU changes on production analytics data, dashboards and reports.
• guide business teams in their own development and management of dashboards and reports where applicable.

Education Qualification

Bachelor’s degree in Data Analytics, Mathematics, Data Science, Business Analytics or equivalent discipline.

Experience and Skills

• 5-8 years of relevant experience in data management, business intelligence & analysis
• Strong domain knowledge of investment data and their usage in investment analysis & reporting.
• Good working knowledge of data management concepts and getting & harmonizing data from different data sources for data analytics.
• Hands-on experience with MS Power BI, Power Query, DAX, MDX, Snowflake, SQL & Stored Procedures, Python or equivalent in delivering BI & reporting solutions and semantic data layers.
• Knowledge of Amazon S3, NLP, AI/ML and MSSQL BI Stack tools (SSRS, TSQL etc) implementations would be advantageous.
• Experience implementing data projects and/or applying data analytics for investment analysis and/or operational process improvements.
• Experience leveraging both traditional and advanced data analytics techniques in combination with strong business acumen to generate actionable insights.
• Strong team player and yet exhibit independence in driving and delivering business outcomes.
• Structured in thought process, with good attention to details.
• Fast and independent learner
• Strong written and verbal communication skills

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Assist in the development, construction, testing, and maintenance of SQL databases and data pipelines
• Participate in data modelling, database design, ETL, and reporting tasks under supervision
• Assist in the creation of database schemas, tables, views, functions, and stored procedures using SQL
• Support in loading data from various sources into databases and data warehouses using SQL and ETL tools
• Contribute to optimizing SQL queries and database performance
• Collaborate with software developers in integrating applications with databases
• Assist in documenting database schemas, ETL processes, and technical specifications

• Bachelor's Degree in Computer Science or any IT related field.
• Minimum 2 years of experience in data engineering with SQL and relational databases
• Proficiency with SQL (PostgreSQL, Microsoft SQL Server) including writing complex queries, joins, aggregations, etc
• Knowledge of database design principles, data modeling and warehousing principles
• Experience in developing schemas, tables, views, functions
• Experience with ETL processes and data pipelines
• Familiarity with database performance tuning and optimization
• Ability to communicate technical specifications to stakeholders

Responsibilities:

• Design and develop data ingestion solutions for big data.
  Build efficient and reliable data processing solutions.
• Design and implement data storage solutions.
• Develop scalable data pipelines for ingestion, transformation, and storage of large datasets.
• Optimize data pipelines for real-time and batch processing.
• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.

Requirements:

• Minimum 5-8 years of designing and implementing ETL solutions.
• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Familiar with AWS data ingestion and processing tools like NiFi, Kinesis, and Glue.
• Strong expertise in big data technologies such as Apache Spark and Hadoop.
• Experience with AWS data storage solutions including S3, Iceberg, Aurora, and OpenSearch.
• Proficiency in programming languages including Python, Scala, and Java.
• Preferred certification and/or hands-on experience with AWS data services.
• Attention to detail and a strong commitment to delivering high-quality solutions.
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
• Work well in a team.
• Excellent communication and interpersonal skills
  

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Integrated Information Technology Services (IITS).
• Data Governance Strategy
  • Develop and implement a comprehensive data governance strategy aligned with organizational objectives.
  • Define and enforce data governance policies and standards.
• Data Quality Management
  • Establish and oversee data quality frameworks to ensure accuracy and reliability of data across the organization.
  • Implement data profiling and cleansing processes to address data quality issues.
• Metadata Management
  • Develop metadata framework and maintenance model.
  • Support stakeholder in maintaining a metadata repository, documenting data definitions, lineage, and usage.
  • Facilitate the creation and maintenance of a business glossary.
• Data Security and Privacy
  • Implement and enforce data security and privacy policies to protect sensitive information.
  • Ensure compliance with relevant data protection regulations and standards.
• Collaboration and Communication
  • Collaborate with cross-functional teams to promote a culture of data governance and accountability.
  • Communicate data governance policies and guidelines to all stakeholders.
• Data Stewardship
  • Define the data stewardship structure and operating model.
  • Support the setup of data stewardship team.
  • Collaborate with data stewards in executing their roles.
• Data Classification and Lifecycle Management
  • Work with stakeholders to classify data based on sensitivity and business impact.
  • Define and implement data lifecycle management processes.
• Compliance and Auditing
  • Ensure compliance with data governance policies and perform regular audits.
  • Address and remediate issues identified during audits.
• Training and Awareness
  • Develop and deliver training programs on data governance best practices.
  • Raise awareness of the importance of data governance across the organization.
• Team Management
  • Take ownership and support team and while holding team accountable for their commitments, removing roadblocks to their work.
  • Leverage organizational resources to improve capacity for project work.
  • Mentor and develop team members.

• Degree / Diploma in Computer Science, IT or related discipline.
• Minimum 5 years of relevant experience in leading and delivering data governance/ data protection/ data management related work.
• Strong proficiency in the domain of data protection, data governance and PDPA obligations, principles and practices.
• Prior experience in implementing Data Governance Framework and Standards would be highly advantageous.
• Relevant certification in data management domain (e.g. DCAM, CDMP) is advantageous.
• Project management experience is a plus.
• Resourceful and able to work independently, demonstrating strong ownership, planning, organizational, and problem-solving skills to manage competing demands.
• Ability to manage and prioritise work within a small team, and function as a strong individual contributor as well as team leader. The team is small, and strong performers must demonstrate their capability as a subject matter expert.
• Excellent interpersonal, persuasive, and communication skills, with proficiency in both oral and written communication. Capable of collaborating effectively with individuals at various levels of the organization.
• Strength in clear and concise policy/technical writing. A significant portion of work requires the role to articulate thoughts, policies and strategies in written format.
• Self-driven and entrepreneur mindset, as the candidate will need to initiate the formulation of data governance practice within the University.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Reporting to: Head of Finance

Roles and Responsibilities

· Lead and implement new and advanced end-to-end solutions in order to support the Head of Finance on Data Analytics requirements.

· Able to leverage on advanced data analytics skills, finance and accounting fundamentals to provide both descriptive insights on business performance and perform predictive modelling for tactical and strategic purposes.

· Build and maintain financial models to support business decision making

· Stay abreast of the latest developments in Generative AI and large language models, assess the suitability of application within the function

· Execute the Data Analytics strategy within the finance function

· Take ownership to build/transform the decision-making process that is data-driven

Requirements

· More than 5 years relevant experience in the financial industry, preferably with knowledge in Futures and Options, OTC derivatives, securities and fixed income products.

· Master or equivalent in Data Science / Computing. Candidates with equivalent academic qualifications in other disciplines but able to showcase keen interest and aptitude in data analytics are welcome to apply.

· Good analytical skills with the ability to link financial numbers with business activities.

· Preferably with finance and accounting knowledge.

· Good understanding of latest technology.

· Good knowledge of programming languages including python, scripting and VBA etc. Understand database design and database structures languages such as SQL.

· Good written and verbal communication skills.

· Strong team player and good inter-personal skills.

Job Description

• Creating complex, enterprise-transforming applications on diverse, high energy teams
• Working with the latest tools and techniques
• Hands-on coding, usually in a pair programming environment
• Working in highly collaborative teams and building quality code
• The candidate must exhibit a good understanding of model implementation, data structures,
data manipulation, distributed processing, application development, and automation.
• The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models
Essential Skills & Prerequisites
• Development and implementation experience of applications for 4-6 years..
• Knowledge of micro-services architecture and cloud will be added advantage.
• Knowledge of Java and Scala will be added advantage
Desired
• Additional experience on developing service-based application
• Excellent analytical skills: Proficient in MS Office and able to produce board-level documentation
• Fluency in written and spoken English; Good communication and interpersonal skills
• Self-starter who sets and meets challenging personal targets, Detailed person, with a big picture outlook
• Understanding of current technologies employed by Tier 1 Investment Banking Institutions
• Must be a team player
Mandatory Skills
• Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.
• Development and implementation experience of applications for 4-6 years.
• 4 to 6 years' experience designing and developing in Python.
• 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)
• 3 to 5 years' experience with Unix shell scripting
• 3 to 5 years' experience with SQL
• 2 to 3 years' experience with Spark programming

As an Entry Level to Mid Level Data Platform Engineer, you will be responsible for designing, implementing, and maintaining the Denodo Data Virtualization Platform. You will work closely with the project team to ensure seamless integration with other IT components. You must have master proficiency in Denodo Data Virtualization Platform and advanced proficiency in Data Architecture Principles, Database Architecture, and Platform Engineering.

• Design and implement the Denodo Data Virtualization Platform for the MAS Enterprise Data Lake
• Collaborate with the project team to ensure seamless integration with other IT components
• Develop data architecture principles and design database architecture
• Define technology architecture blueprint roadmap
• Engineer the platform to meet project requirements

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

Responsibilities:

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have:

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

POSITION GENERAL DUTIES AND TASKS :
Service Delivery
Batch scheduling and monitoring
ETL Development
SQL
Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.
Strong SQL, Python, Java and Unix shell scripting
Incident, problem, and service Outage management experience is Plus.
Strong in data engineering concepts and programming
Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Experience in supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Provide operational support and ensure SLI of Applications
Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA