1,331 Database Developers jobs in Singapore

• Develop, optimize, and maintain SQL and PL/SQL queries, procedures, triggers, and packages for banking applications.
• Design, code, test, and maintain .NET/C# applications integrated with backend databases.
• Manage and implement Change Requests (CRs) — including analysis, estimation, coding, testing, and deployment.
• Work closely with business analysts, testers, and support teams to ensure CRs align with banking requirements.
• Perform impact analysis to assess risks and dependencies before CR implementation.
• Conduct performance tuning and ensure scalability for large-volume banking transactions.
• Support UAT, regression testing, and production releases with proper documentation.
• Provide L2/L3 technical support for incidents related to SQL, PL/SQL, and .NET applications.

• 4–9 years of experience as SQL / PL-SQL Developer.
• Strong hands-on expertise in Oracle SQL/PL-SQL development.
• Experience in .NET framework / C# application development.
• Prior exposure to banking domain.
• Proven track record in handling Change Requests (CRs), including impact analysis, development, testing, and deployment.
• Experience with performance tuning and optimizing complex queries.
• Familiarity with version control tools (e.g., Git, SVN) and change management processes in banking.
• Strong understanding of SDLC and Agile methodologies.
• Excellent communication and stakeholder management skills.

• At least 2 years related experience required
• Proficient in SQL (Sybase), and with FIORI UI5 will be preferred.
• Experience in full stack, frontend/backend software development will be added advantage
• Good knowledge on application security will be added advantage
• Analyse process/program specifications & translate specifications to program codes, conforming to program guidelines and programming best practices
• Make changes to configurable items, which include hardware, software, documentation, etc. It covers configuration management planning, configuration identification, configuration controls & audits
• Develop unit test package, execute tests & document test results to ensure the quality of the program

Has 3–5 years of experience in experience in developing, implementing and maintaining IT systems
Strong business analysis skills with proven ability to gather, analyze, and translate requirements into functional and technical deliverables.
Solid understanding of MS Windows environments and enterprise application support.
Proficiency in SQL/Oracle database.
Demonstrated success in project management, stakeholder management, and vendor coordination.
Strong analytical, problem-solving, and independent working skills.
Prior experience in the healthcare domain is an advantage.
Bachelor’s degree in Computer Science, or IT.
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Key Qualifications:

• 5-7 years experience
• Extensive experience in reporting, data visualisation, data mining, data integration and ad hoc analysis
• Strong Snowflake & Tableau expertise is a must
• Familiar with Supply Chain/Operations environment preferred
• Excellent data analysis and presentation skills
• Excellent attention-to-detail, ability to compile and validate large amounts of data while maintaining a very high degree of accuracy
• Excellent communication and comprehension skills
• Ability to operate in a fast paced, rapidly changing environment
• Business Acumen and ability to rapidly understand complex business process
• Excellent problem solving skills: ability to analyze and resolve complex problems in a structured and logical manner
• Excellent/Advanced Excel skills
• Ability to comprehensively understand data elements, sources and relationships
• Self-motivated individual able to function effectively when working independently or in a team
• Strong Project Management experience

Job Type: Contract

Contract length: 12 months

Pay: $3, $12,170.38 per month

Benefits:

• Health insurance

Experience:

• Snowflake : 1 year (Required)
• SQL: 1 year (Required)
• Tableau: 1 year (Required)

Job Description:

• Work across workstreams to support data requirements including reports and dashboards.
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes.
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Develop data pipeline automation using Azure, AWS data platform and technologies stack, Databricks, Data Factory.
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery.
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming.
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data.
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineer, IT, or related fields.
• Minimum of 4 years' experience in Data Engineering fields.
• Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, Azure, AWS.
• Data Visualization skills: Power BI (or other visualization tools), DAX programming, API, Data Model, SQL, Story Telling and wireframe design.
• Business Analyst skills: business knowledge, data profiling, basic data model design, data analysis, requirement analysis, SQL programing.
• Basic knowledge in Data Lake/Data Warehousing/ Big data tools, Apache Spark, RDBMS and NoSQL, Knowledge Graph.
• Experience working in a Singapore public sector, client-facing/consulting environment is a plus.
• Team player, analytical and problem-solving skills.

Exp range is 8-10 years

• Skills / Tech Knowledge: AWS

Glue (batch & streaming), AWS Lambda, Python/PySpark, API integration,

job orchestration (Step Functions/Airflow), OpenSearch/Kibana

troubleshooting.

• Role Fit: Handle complex pipeline builds, integrate new APIs/data sources, lead enhancements, mentor junior
  
  engineers.

• 8+ yrs. experience working with data migration, transformation, processing & warehouse design, specifically on Databricks (Unity Catalog, Delta Lake) / Azure Data Factory / Azure SQL

• Expertise in developing efficient Azure Data Factory Pipelines and Databricks Notebooks (PySpark/Spark SQL)

• Proficient in PySpark, Spark SQL, T-SQL

• Understanding of data security principles and practices

• Strong analytical and problem-solving skills

• Strong communication and collaboration skills

Must-have

• Databricks

• Azure Data Factory

Job Title: Data Engineer

Job Overview:

We are seeking an experienced Data Engineer to join our Data team in Singapore. The ideal candidate will have a proven track record of hands-on data engineering experience, particularly within the AWS and Azure. As a Data Engineer, you will be responsible for developing and maintaining data pipelines, ensuring the reliability, efficiency, and scalability of our data lake and enabling data marts for AI models.

Responsibilities:

• Develop robust ETL pipeline and frameworks for both batch and real-time data processing using Python and SQL.

• Deploying and Monitoring the ETL Pipelines using orchestration tools such as Airflow, DBT or AWS Services such as Glue Workflow, Step Functions, EventBridge.

• Work with cloud-based data platforms like Redshift, Snowflake and Data Ingestion tools like DMS, ELT tools like dbt cloud for effective data processing.

• Work with Azure data factory for building data pipelines

• Implement CI/CD for ETLs and Pipeline to automate build and deployments

Qualifications:

• Bachelor's or Master's degree in computer science, Information Technology, or a related field.

• 3+ years of hands-on data engineering experience in AWS

• Should have delivered Atleast 2 programs into production as data engineer

Primary Skills:

• Proficient in Python, SQL and Data Warehousing Concepts

• Develop ETL frameworks

• Proficient in AWS services such as S3, DMS, Redshift, Glue, Kinesis, Athena, AWS Lambda, Step Functions to implement scalable data solutions.

• Proficient in Azure data factory.

• Working experience on Data Warehousing using Snowflake or AWS or Databricks

• Should have understanding of data marts for presentation layer into reporting

Good-to-Have Skills:

• ETL development using tools like Informatica, Talend, Fivetran

• CI/CD setup using GitHub or Bitbucket

• Good Communication Skill

• Good Knowledge in Data lake and data warehousing concepts

Data Engineer

Location: Central, Singapore

Type: 1-year contract

Salary: Up to SGD 10,500/month 

About the Role

We're seeking a Data Engineer to design and deliver reliable, scalable data pipelines that power reports, dashboards, and data products across multiple workstreams. You'll partner with business, system analysts, and engineering teams to translate requirements into technical designs, automate pipelines on Azure/AWS/Databricks, and surface trusted data for analytics and operational use.

Key Responsibilities

• Partner across workstreams to understand data needs and support reports/dashboards.
• Perform data profiling and analysis to identify patterns, gaps, and discrepancies; apply Data Quality & Data Management practices.
• Design and develop end-to-end data pipelines (ingestion, transformation, processing, serving) for large-scale applications.
• Build pipeline automation using Databricks and Azure Data Factory (with exposure to AWS equivalents).
• Translate business requirements into technical specs and delivery plans with system analysts and developers.
• Implement batch and real-time ingestion (file transfer, APIs, streaming via Kafka and Spark Streaming).
• Develop ETL/ELT using Spark to standardize and transform data for downstream use.
• Enable data access via exports, data APIs, or visualization layers (e.g., Power BI, Tableau).

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, IT, or related field.
• ≥ 4 years of experience in Data Engineering.
• Technical skills: Python, SQL, Spark, Databricks, Azure, AWS, APIs; exposure to data/solution architecture concepts.
• Visualization skills: Power BI (DAX, data modeling), or equivalent tools; ability to craft clear narratives and wireframes.
• Business analysis fundamentals: data profiling, basic data model design, requirement analysis, SQL.
• Foundations in Data Lake/Warehouse/Big Data, Apache Spark, RDBMS & NoSQL, and Knowledge Graph concepts.
• Plus: Experience in the Singapore public sector and/or client-facing/consulting environments.
• Strong teamwork, communication, and problem-solving skills.

How to Apply: Interested applicants, please click on the "Apply Now" to submit your updated resume.  

Please note: Due to the anticipated high volume of applications, only shortlisted candidates will be contacted. All information provided will be treated with strict confidentiality and used solely for recruitment purposes.

Ahmad Ilyas bin Azhari

Consultant – IT & Digital

EA Personnel No: R

Peoplebank Singapore Pte Ltd | EA Licence No: 08C5248