✔ Good Career Starter !!!

✔ Our Client is one of the Leading Data Management Company

✔ Till End of December

Working location:

Jurong West

Working hours:

Mon-Fri (830am - 6pm)

Responsibilities:

• Scanning and filing of documents in a fast-paced environment.
• Perform data entry duties by ensuring all data are keyed in correctly into database.
• Any other ad-hoc duties assigned.

Requirements:

• At least GCE ‘N’ Level qualification is needed.
• Able to Start Immediately

How to Apply:

Please prepare your updted resume (Include your current salary and expected salary) and email to [email protected]or Whatsapp +65 8512 8044

We regret only shortlisted candidates will be notified.

EA License No: 05C3451
EA Personnel Reg No: R2198644
Ellen Lee Wei Xin

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility
• Implement data validation and verification procedures to ensure accuracy
• Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

• Well Established Company
• Basic $2500 - $2800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

Overview

Our healthcare client is seeking a Senior Executive/Assistant Manager to support day-to-day operations at their Contact Centre, ensuring service standards, key performance indicators (KPIs), and positive experiences.

Job Description:

• Basic Accounting (E.g. bookkeeping, data key-in, etc.)
• Receive delivery order from client and update job instruction into company in-house system
• Provide general administrative duties (E.g. scanning, printing, filing of document, quotation, accounts related document, paper work & etc)
• Support general office operation
• Vendor sourcing and procurement
• Monitor shipment of order
• Ad-hoc duties from manager

Requirements:

• Minimum GCE 'N' Level
• 1 year admin clerk experience preferred
• Meticulous and good eye for detail
• Pleasant disposition and customer-service oriented
• Able to competantly speak Mandarin
• Able to commit to some over time
• 5.5 days week

Workplace: Keppel Distripark Warehouse

Blk 519 Kampong Bahru Road #02-108 S(099453) Keppel Distripark

Mon - Fri: 8.30am to 6.15pm

About Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Responsibilities:

- Extract, Transform, and Ingest real estate data into data warehouse

- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)

- Design and implement data extraction solution in a distributed system

- Build efficient data pipelines (using Airflow, DBT, AWS etc.)

- Build data models and applications to support products and solve specific business needs (using SQL, Python etc.)

- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions

- Maintain data pipeline to ensure the smooth operation

- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance

Requirements:

- Major in computer science, computer engineering, data analytics or other related technical field preferred

- At least 2 years of experience in data related fields

- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL

- Experience with distributed computing, parallel processing, and working with large datasets

- Strong experience in data lakes (integration of different data sources into the data lake)

- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage

- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Requirements / Skills / Responsibilities:

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description / Requirements / Skills / Responsibilities:

· Possess a degree in Computer Science/Information Technology or related fields.

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

Familiarity with Denodo

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Objectives of the position:

Data Analyst plays a critical role in driving continuous improvement, operational efficiency, and waste reduction across APAC and serves as the in-house expert for deriving actionable insights from Operations and Product management data to drive operational efficiency and support business decision-making. The analyst understands Operations and Product management data, requirements, gathers and consolidates data across APAC region, and distills this information into concise, actionable insights that can be effectively communicated to management and other stakeholders.

Key Responsibilities

• Develop clear and compelling visualizations to effectively communicate complex data insights to both internal and external stakeholders, enabling informed decision-making.
• Provide detailed analysis and actionable insights to support strategic and operational decisions, ensuring alignment with overall business objectives.
• Aggregate and interpret data from various sources to uncover trends and patterns, with a focus on process optimization and waste reduction.
• Collaborate closely with operations, supply chain, and product management teams across APAC to achieve organizational goals.
• Create and maintain dashboards that offer real-time visibility into key performance indicators (KPIs) across operations, logistics, purchasing, product, and management functions.
• Establish, measure, and refine KPIs to ensure they align with business objectives and drive continuous improvement.

Skills & Qualification

• Ability to present data insights clearly and persuasively to various stakeholders, including senior management and external partners.
• Ability to think critically and creatively to solve complex problems and optimize processes.
• Ability to analyze financial data and understand the financial impact of Lean initiatives on cost savings and ROI.
• Proficiency in visualization tools such as Tableau, Power BI, or QlikView for creating impactful dashboards and reports.
• Proficiency in Python and/or R for performing statistical analysis, creating predictive models, and managing large datasets.
• Experience with statistical methods such as regression analysis, hypothesis testing, and time-series analysis.
• Experience in planning, executing, and monitoring projects, including resource allocation and risk management.
• Strong focus on detail to ensure accuracy in data analysis and process improvements.
• Proven track record of successfully implementing practices in various operational settings.
• Proven ability to lead cross-functional teams and manage projects from initiation through completion.
• A bachelor’s degree in business management or a closely related field such as data science.

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

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

Job Descriptions:

• Receive training about BI (Business Intelligent) products, data analysis and project management;
• Execution of data validation, data mining and data analysis activities;
• Assist Lead Data Analyst (LDA) with BI project implementation leveraging Yonyou BI product (integrated with Yonyou EPR system and Cloud Platforms) ;
• Assist LDA in drafting the scope of BI project, and confirming the project timeline.
• Prepare technical documentation and other deliverables to meet the project requirements, and Summarize the best practice of software solution implementation project implementation.

Requirements:

• 3 years of experience in Data Analyzing preferably in the fields in Business applications and cloud solutions, ERP experience
• Graduated in Data Science, Information Technology, and Business Analyst.
• Preferably familiar with database tools such as SQL query and has experience in DBMS e.g. SQL Server, Oracle will have an advantage.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue
• Excellent problem-solving and analytical skills and good verbal and written communication skills.
• A team contributor who can learn fast, perform under pressure and excel in a fast-paced environment.
• Fluency in both English and Mandarin is required to liaise with English and Mandarin-speaking associates.
• Will be based in Singapore and travel for overseas projects in Southeast Asia

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

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

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Summary:

We are seeking a skilled Data Engineer with 3 to 5+ years of experience in Databricks and Python to join our dynamic team. The ideal candidate will play a key role in designing, developing, and optimizing data pipelines and analytics solutions on Databricks. Experience with AWS Cloud is highly preferred.

Key Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Optimize and troubleshoot existing Databricks workflows for performance and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement data processing solutions using Spark in Databricks.
• Integrate and manage data from multiple sources, ensuring accuracy, quality, and consistency.
• Leverage AWS cloud services (e.g., S3, Lambda, Redshift, Glue) for data storage, transformation, and analytics.
• Perform data profiling and validation to ensure the reliability of processed data.
• Monitor and maintain data pipelines for continuous performance improvements and error handling.

Required Skills:

• 3-5+ years of hands-on experience with Databricks and Python development.
• Strong expertise in PySpark and data transformation techniques.
• Proficiency in writing optimized, efficient, and scalable Python code.
• Experience with SQL and relational databases for data querying and manipulation.
• Familiarity with AWS services (e.g., S3, EC2, RDS) and cloud-based data engineering concepts.
• Knowledge of version control systems such as Git.
• Strong problem-solving and analytical skills with a focus on data processing and integration.

Preferred Skills:

• Working experience with AWS Redshift, Glue, or Athena.
• Familiarity with CI/CD pipelines for data engineering projects.
• Exposure to data visualization tools or frameworks.
• Knowledge of data security best practices and governance principles.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Relevant certifications in Databricks, AWS, or Python development are a plus.

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient in Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.

About the Role

We are looking for a Data Engineer to join the Data and Artificial Intelligence Platforms (DAIP) team.

Key Responsibilities

• Build and manage data pipelines to collect, clean, and harmonize data.
• Monitor databases and ETL systems, ensuring performance, capacity, and uptime.
• Create reusable data models based on end-user needs.
• Design secure data access mechanisms and implement data quality checks.
• Maintain data catalogs, enforce governance policies, and improve infrastructure.
• Research and adopt new technologies to enhance data systems.
• Protect sensitive data through security best practices.

Senior engineers will additionally:

• Establish best practices and mentor team members.
• Assist with recruitment.

Expectations

Beyond coding, you'll determine what to build and how, leveraging cloud services, open-source tools, and community solutions to maximize value and minimize redundant effort.

Working Here

• Impactful Work: Develop products that solve real societal challenges in areas like healthcare, transportation, and education.
• Rapid Prototyping: Test ideas quickly to identify opportunities and problems.
• Ownership: Take responsibility for seeing your ideas through.
• Continuous Learning: Embrace learning new technologies and frameworks as part of the job.

Skills & Requirements

• Proficiency in Python, JavaScript, or Scala, with a passion for software engineering.
• Experience writing efficient, reliable, and maintainable code.
• Exposure to cloud or on-prem environments; experience with DevOps/CI/CD is a plus.
• Interest in data science, machine learning, and working for public good.

Responsibilities:

• Consults with supervisor, systems analysts, other programmers, and end users to gather information about program intent, functions, features, data requirements, input requirements, output requirements, internal and external checks and controls, hardware and operating system environment, and interfaces with other systems.
• Designs and writes program specifications based on consultations with supervisor, systems analysts, other programmers, and end users.
• Converts designs and specifications into computer code.
• Compiles code into programs and corrects errors detected in the compile process.
• Creates test transactions and runs tests to find errors and confirm the program meets specifications.
• Analyses code to find causes of errors and revise programs.
• Writes and maintains documentation of changes to computer code, programs, and specifications.
• Designs and codes layouts for onscreen user interfaces, printed outputs, and interfaces with other systems.
• Engages in user review and technical documentation written by others to confirm consistency with program operations.
• Provides technical assistance by responding to inquiries regarding errors, problems, or questions with programs.
• Revises programs for corrections, enhancements, or system environment changes.
• Trains end users or technical support staff to use and support programs.
• Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills:

• Bachelor’s degree and 8+ years’ related experience and/or training; or equivalent combination of education and experience
• Networks with key contacts outside own area of expertise
• Determines methods and procedures on new assignments and may coordinate activities of other personnel
• Experience with programming or computer science/engineering
• Familiarity with relational database schemas and SQL
• Knowledge of using modern developmental tools
• Expertise in programming a software program (windows or web based) that interacts with a relational database
• Knowledge of coding languages
• Knowledge various development methodologies

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

About the Role:

Important note: Only Singapore Citizen candidates will be considered as this is a high security CAT-1 project.

We are seeking a skilled Data Analyst to support our Data Management Operations activities. The ideal candidate will have a strong background in data analysis, reconciliation, and quality checks, along with hands-on experience in Oracle PL/SQL. You will be responsible for ensuring data integrity, conducting UAT, managing user queries, and meeting data-related SLAs.

Key Responsibilities:

• Data Management Operations Support: Assist in the efficient operation of data management tasks, ensuring data processing, monitoring, and integrity are maintained across systems.
• Data Reconciliation & Quality Checks: Perform data reconciliation and quality checks to ensure the consistency, accuracy, and completeness of data. Troubleshoot and resolve discrepancies and data quality issues.
• Oracle PL/SQL Expertise: Use Oracle PL/SQL to query, manipulate, and manage data across systems, ensuring data consistency and integrity.
• UAT Support: Participate in User Acceptance Testing (UAT) for new or updated data systems, validating their functionality, data flow, and ensuring they meet all necessary requirements.
• SLA & Query Management: Oversee SLAs related to data operations, addressing end-user queries and requests promptly while ensuring timely resolution of any issues.
• Documentation Support: Assist in the creation and maintenance of technical and functional documentation, including system specifications, workflows, and data management protocols.
• Finance Domain Knowledge: Apply a strong understanding of finance domain processes to ensure data operations comply with business needs and regulatory standards.
• Troubleshooting & Problem Solving: Use logical and analytical skills to resolve data-related issues, identifying root causes and providing effective solutions.
• Collaboration: Collaborate with cross-functional teams (including IT, finance, and operations) to ensure smooth data management operations and enhance process efficiency.

Required Skills and Experience:

• CAT-1 clearance or eligibility is required for this role.
• Proven experience in supporting data management operations and performing data analysis, reconciliation, and quality checks within Investment firm.
• Hands-on experience with Oracle PL/SQL for querying, reporting, and data manipulation.
• Experience performing UAT, including testing and validating data systems.
• Strong ability to manage SLAs, handle user queries, and prioritize tasks.
• Experience providing documentation support, including creating and maintaining technical and functional specifications.
• Solid understanding of finance domain processes, regulations, and data requirements.
• Strong problem-solving and logical thinking abilities with attention to detail.
• Excellent communication skills, both written and verbal, to interact effectively with stakeholders and teams.

Advantageous Skills:

• Snowflake: Experience working with Snowflake for cloud-based data warehousing and analytics.
• Denodo: Familiarity with Denodo for data virtualization and integration across multiple data sources.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

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