POSITION OVERVIEW : Data Engineer cum PM(Dual Role)

POSITION GENERAL DUTIES AND TASKS :

Role and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology. b) Involve in project planning and budgeting. c) Plan and lead project delivery. d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor). e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor). f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems. g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies. h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality. i) Mitigate project risks. j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines. k) Evaluate potential solutions and make recommendations to resolve business problems. l) Provide guidance and coaching to junior team members. m) Conduct end user training if required.

Requirements / Qualifications a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent. b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions. c) Minimal Four (4) years’ experience in project management. d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques. e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools. f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams. g) Strong analytical skills and ability to work independently, as well as in a team. h) Exposure to hospital information / clinical systems is an added advantage. i) AWS cloud experience is a must. j). Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills: • Experience in AWS Services focusing on data and architecting. • Knowledge of containerization and orchestration tools like Docker and Kubernetes. • Familiarity with data visualization tools like Tableau or Power BI. • Understanding of DevOps principles for managing and deploying data pipelines. • Experience with version control systems (e.g., Git) and CI/CD pipelines. * Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Maltem Singapore is currently seeking a Business Data Analyst for our Wealth Management Client.

Summary:

Supporting the Data Governance project, you will be working with various internal teams and stakeholders to gather and understand data requirements, driving the implementation of broader data initiatives across the organization. This role will be crucial in ensuring that data solutions align with business objectives and enhance overall data quality and usability.

Responsibilities:

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience and knowledge of Python.
• Proven experience in Data Management such as:
• Metadata
• Data Quality
• Data Discovery and support for enterprise-level data products.
• Good understanding of Financial Data and Data Management best practices.
• Demonstrate understanding of the complex Data Security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including Data Storage and management in relational databases such as:
• Snowflake
• MsSQL
• Oracle PL/SQL
• Familiarity with leading Data Management trends and practices in the Financial Industry, including approaches to Data Quality and business-technology issues related to Data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Good-To-Have:

• Certification in Data Management or Data Quality (e.g., DAMA, CDMP) will be advantageous.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Data & BI Lead to join our ERP Team on a 2-Year Contract basis. This person will report to Technology Director and is a subject matter expert and data champion, with previous experience and accountability of delivering scalable solutions and enterprise data models across business applications, reporting and analytics domains.

This individual will work closely with the Enterprise Architect, BI Analysts, Application and Data owners, taking ownership of the global data design and modelling activities in establishing robust dictionaries, data integration documentation, migration mapping, master and reference data landscapes within the existing architecture and transformational initiatives.

To be successful in this role the candidate will have the required technical experience coupled with appropriate project management experience to drive deliverables of data related projects. Further, the role requires active engagement with and management of 3rd party vendors to deliver projects as well as experience in managing internal stakeholders up to executive management level.

Functions and processes include:

• Data flow governance: Cataloguing of data objects and interfaces
• Master data and reference data modelling
• Data Warehousing and Integration design
• Migration planning and mapping
• Modern BI and Analytics architecture design and delivery
• Data flow accountability and responsible for ensuring data flowing through source systems, ERP and various platforms
• Target data architecture design supported by scalable environments, well-defined artefacts, data and interface catalogues, lineages, procedures, and standards collectively enabling seamless end-to-end orchestration and continuous delivery
• Provide guidance during capturing and translating business processes into physical data models, ensuring a scalable and extensible design is adhered
• In conjunction with business and technology transformation activities, define data platform capabilities aligned with current and future business models
• Oversight of data integration design and delivery initiatives including ingesting, transforming, staging, and consuming large amounts of structured and semi-structured data – both on- premises and on cloud – with knowledge of potential pain points

Key Skills & Qualifications Requirements

• Degree in IT, MIS, Data Science or Certification in Data Architecture / Data Engineering
• At least 8 to 10 years of experience in data architecture or related field
• A broad understanding of data environments, technologies, BI stacks, ETL and data visualization tools e.g. SQL Server, SQL Management Studio, SSRS, SSIS, SSAS, PowerBI, MDM experience
• Experience using and implementing hi-performing global data warehouses, data marts using MS Azure data components e.g. Data Factory, Azure Data Lake
• Proven experience in delivering end-to-end cloud data platform solutions using modern agile methodologies, data pipelines, serverless orchestration and CI/CD development processes
• Handed at least one major data modernizations engagement or been part of data transformation journey within an Enterprise.
• Experience operating with an engineering, agile and DevOps mindset
• Extensive experience of successfully and confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design
• Proven experience in working with, and driving outcomes from vendors for augmenting the Data Capabilities.
• Strong knowledge of data modelling and database and data warehouse design principles.
• Familiarity with data governance and security best practices: Good Understanding of the Enterprise Architecture Concepts and its implementation at the organization level
• Exceptional customer-facing, presentation and influencing skills
• Capacity to train and guide other team members and business teams on best practices data literacy
• Ability to manage and prioritize tasks efficiently
• Excellent third party and stakeholder management
• Ability to manage 3rd party vendors and lead engagement in matrix environment

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Responsibilities

• 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
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• 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 .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• 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
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• 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 .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Zenith Infotech is a Tech Recruitment Company in Singapore for the past 27 years. We are looking for a suitable candidate for the above role

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
.DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

Senior Manager, Data (Gain Theory)

About Gain Theory
Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

What’s the Vision?
Gain Theory’s vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed decisions.

The Role: What will I do?

The role of Sr. Manager of Data is a highly visible role within the team and organization. As a Sr. Manager of Data, you will have direct client responsibility, management responsibility for your team, and be a technical lead for your direct reports and others. You will report to the Director of Data for your client squad.

The Sr. Manager of Data is responsible for several areas of the business:

• Accountable for designing, delivering, and maintaining all aspects of the data management process for any assigned clients
• Direct oversight of, management of, and full accountability for work delivered by all junior data resources (some may be in other global offices/time zones) for any assigned clients
• Balancing getting the data perfect or in very good modeling shape versus the demands of the clients around what is required
• Identifying, building, and automating data collection solutions for various data sources including ad servers, social networks, DSPs, search engines, etc.
• Building relationships and owning communications with key data owners and contacts to ensure timely delivery of accurate, clean data
• Project management of all data activities for assigned clients including managing timelines, identifying/mitigating known risks, communicating impact to downstream dependencies, etc.
• Regularly meet with client leads and line manager to coordinate account planning and client project initiatives. This includes providing resource estimates and expected timing to ensure proper staffing
• Support the data lead for all assigned clients providing key information for all internal and/or cross-client initiatives as needed
• Train and support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence

Qualifications

• Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
• In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes
• Familiarity with DBT is highly valued
• In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and reporting
• Media agency experience will be highly valued
• Can lead requirements gathering, project planning, and implementation for both cross-functional internal data initiatives as well as client-side data projects
• Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects
• Ability to manage and motivate Gain Theory team members
• Organized, detail-oriented, QA-focused
• Experience/familiarity with Multi-Touch Attributions solutions and/or Market Mix Modeling will be highly valued
• Experience with key reporting solutions such as Tableau / Power BI will be highly valued
• Excellent written, verbal, and presentation skills

Values and Behaviors I Demonstrate

Joining Gain Theory means joining a group of people who live, breath and behave by our values:

• Be Curious: continuously asking, understanding, learning, and developing.
• Be Positive: approaching everything we do with a positive mindset and making positive impact on each other.
• Act with Consideration: seeing things from someone else’s perspective; respecting and embracing diverse thinking.
• Make it Better: continuous improvement and stretching our abilities, being honest with ourselves and each other.

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information , please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter .

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

Your future position

Kpler provides the most comprehensive tracking of commodity flows in dry bulk, and we are rapidly expanding it. Our portfolio covers critical commodities that are integral to global energy and food security, such as thermal coal and grains, those essential for industrialization, including iron ore, metallurgical coal, and aluminium as well as the energy transition (copper and nickel).

As part of our market data operations team, you'll play a vital role in driving the advancement of our offerings. Your contributions will be instrumental in ensuring our clients receive accurate and reliable data, empowering them to navigate intricate market dynamics and capitalise on emerging opportunities with confidence.

Your mission is to:

•Own Quality: Take charge of specific regions and product groups and ensure the highest standard of data quality, by reviewing internal constraints and ingest data from external sources.

•Continuous improvement: Identify technology and process improvements to efficiently and effectively process data and improve data accuracy of our seaborne flows.

• Monitor market news and developments, to first extract meaningful patterns and detect new trends and then support our product managers by providing evidence to improve business rules and algorithms.

• Draft fast-response analysis to ad-hoc requests from clients (emails, chats, video calls and in person meetings) and assist the sales and customer success teams in meeting clients’ data needs and optimise client engagement by adding further improvements to our internal system.

It could be a good fit if..

• You have 2 - 5 years of experience working with large, disparate and/or unstructured data sets (advanced Excel and SQL skills and Python knowledge would be a plus).

• You have proven experience integrating data and ease with working with databases.

•You have experience working with some of the following tools: JIRA, Postman, Tableau, Appsmith, Rundeck, Slack.

• You show willingness to learn, are a team player, quick learner, and able to work within short deadlines across multiple tasks

• You have the ability to work and communicate in an international cross-cultural environment, with a strong focus on providing solutions

• You are comfortable working with ambiguity and uncovering answers to complex product development questions

• Prior experience in shipping and trading, or knowledge of dry bulk commodities is a Plus! Strong interest is a prerequisite.

Job Description

Key Responsibilities:

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau

Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proficiency in using query languages such as SQL
• Good practical experience with data lake like Hadoop
• Experience with data visualization tools, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
• Data-oriented personality

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

We are seeking a dynamic Data Engineer (Python) to join our growing global team, Recommendations domain to work on exciting projects like implementation of our own machine learning framework, integrating a feature store for supporting real-time data science requirements and the creation of complex data ingestion pipelines to support this!

Join us in creating an engaging and personalized shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work will have a lasting impact on customer satisfaction and loyalty across diverse markets.

Responsibilities

• Ingesting first and third-party data sources into our databases.
• Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
• Collaborating with cross-functional teams to deliver high-quality data assets.
• Deploying and maintaining ML models on our deployment framework.
• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

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 Scientist/Quantitative Research 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, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

Key Responsibilities:

• Design and implement algorithms to process and analyze large-scale datasets.
• Build, fine-tune, and optimize large-scale models using frameworks such as LoRA (Low-Rank Adaptation) and DeepSpeed.
• Collaborate with cross-functional teams to integrate AI workflows using AIFlow.
• Develop and optimize data pipelines and workflows using Apache Spark.
• Write and execute complex SQL queries to analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) and create insightful visualizations.
• Develop and maintain Python-based scripts and applications for data processing and automation.
• Work with large-scale datasets to ensure data quality and integrity.
• Document processes and findings to support informed decision-making.

Requirements :

• Knowledge or academic experience with algorithms and their implementation.
• Hands-on experience with frameworks such as LoRA, DeepSpeed, or similar AI tools (academic or project-based experience is acceptable).
• Familiarity with Spark and distributed data processing techniques.
• Proficiency in SQL for data analysis and querying.
• Programming skills in Python, with a focus on data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of handling large data volumes and related optimization techniques.
• Exposure to data visualization tools like Tableau, Power BI, or Matplotlib.
• Basic knowledge of machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with data versioning tools and workflow orchestration frameworks.
• Strong analytical thinking and problem-solving abilities.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling

About the Role:
We are seeking an experienced Senior Data Solutions Engineer with a strong focus on Google Cloud Platform (GCP) to design, implement, and deploy cutting-edge data solutions. You will collaborate with diverse stakeholders, ensuring clarity of requirements and delivering high-quality solutions aligned with business objectives.

Key Responsibilities:

• Design and implement data solutions exclusively on GCP.
• Develop and maintain efficient data access layers using RDBMS and NoSQL technologies.
• Build and deploy Big Data applications leveraging GCP Big Data Services.
• Collaborate with the Client Technical Manager to understand customer requirements and their technical landscape.
• Ensure clarity and implementation of non-functional requirements (NFRs).
• Utilize programming skills in Java to develop robust solutions.

Desired Candidate Profile:

• 5+ years of experience implementing data solutions using GCP and SQL programming.
• Expertise in SQL and proficiency with RDBMS and NoSQL databases.
• Solid experience with development methodologies such as RUP, Scrum, and XP.
• Exceptional communication, articulation, and presentation skills.
• Strong problem-solving skills, a learning mindset, and high integrity.
• A collaborative team player capable of engaging with diverse stakeholders effectively.

EA License: R1873481

Company EA License: 11C4879

Responsibilities

• 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
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• 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 .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Description

• Desired Candidate Profile Technology Engineering Expertise
• 5 years of experience in implementing data solutions using GCPSQL programming
• Proficient in dealing data access layer RDBMS NOSQL
• Experience in implementing and deploying Big data applications with AWSGCP Big Data Services
• Must have excellent SQL skills
• Experience with different development methodologies RUP Scrum XP Soft skills Able to deal with diverse set of stakeholders
• Proficient in articulation communication and presentation
• High integrity
• Problem solving skills learning attitude
• Team player Key Responsibilities
• Implement data solutions using AWSGCP and need to be familiar in programming with Java
• Ensure clarity on NFR and implement these requirements
• Work with Client Technical Manager by understanding customer’s landscape

EA Number: 11C4879

Responsibilities

• 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
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• 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 .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Primary Job Duties & Responsibilities

• Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
• Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
• Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
• Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
• Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
• Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
• Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
• Present analysis and recommendations to help influence strategic decisions.
• Lead and take action, inspire and motivate others, and be effective at influencing team members.
• Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.

What Will Our Ideal Candidate Have?

• Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
• Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
• Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
• Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans. Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals.
• Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering
• Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases.
• Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
• Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences.
• Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds.
• Bachelor’s or Master’s degree in Computer Science or equivalent; team leadership and management training is a plus.

Zenith Infotech (S), a Tech Recruitment firm with 28 years of presence in Singapore, is looking out for Data Platform Engineer to be supporting our client's project.

Canddiate whom are open for 12 months contract to start with, are most welcome to apply here or email to [email protected]

Job Scope :

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred