2,519 Data Developer jobs in Singapore

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Title: Senior Data Developer – Azure ADF and Databricks

Experience Range: 8-12 Years

Location: Chennai, Hybrid

Employment Type: Full-Time

About UPS

UPS is a global leader in logistics, offering a broad range of solutions that include transportation, distribution, supply chain management, and e-commerce. Founded in 1907, UPS operates in over 220 countries and territories, delivering packages and providing specialized services worldwide. Our mission is to enable commerce by connecting people, places, and businesses, with a strong focus on sustainability and innovation.

About UPS Supply Chain Symphony

The UPS Supply Chain Symphony platform is a cloud-based solution that seamlessly integrates key supply chain components, including shipping, warehousing, and inventory management, into a unified platform. This solution empowers businesses by offering enhanced visibility, advanced analytics, and customizable dashboards to streamline global supply chain operations and decision-making.

About the role

We are seeking an experienced Senior Data Developer to join our data engineering team responsible for building and maintaining complex data solutions using Azure Data Factory (ADF), Azure Databricks, and Cosmos DB. The role involves designing and developing scalable data pipelines, implementing data transformations, and ensuring high data quality and performance. The Senior Data Developer will work closely with data architects, testers, and analysts to deliver robust data solutions that support strategic business initiatives.

The ideal candidate should possess deep expertise in big data technologies, data integration, and cloud-native data engineering solutions on Microsoft Azure. This role also involves coaching junior developers, conducting code reviews, and driving strategic improvements in data architecture and design patterns.

Key Responsibilities

• Data Solution Design and Development:
• Design and develop scalable and high-performance data pipelines using Azure Data Factory (ADF).
• Implement data transformations and processing using Azure Databricks.
• Develop and maintain NoSQL data models and queries in Cosmos DB.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Data Integration and Architecture:
• Integrate structured and unstructured data from diverse data sources.
• Collaborate with data architects to design end-to-end data flows and system integrations.
• Implement data security, governance, and compliance standards.
• Performance Tuning and Optimization:
• Monitor and tune data pipelines and processing jobs for performance and cost efficiency.
• Optimize data storage and retrieval strategies for Azure SQL and Cosmos DB.
• Collaboration and Mentoring:
• Collaborate with cross-functional teams including data testers, architects, and business analysts.
• Conduct code reviews and provide constructive feedback to improve code quality.
• Mentor junior developers, fostering best practices in data engineering and cloud development.

Primary Skills

• Data Engineering: Azure Data Factory (ADF), Azure Databricks.
• Cloud Platform: Microsoft Azure (Data Lake Storage, Cosmos DB).
• Data Modeling: NoSQL data modeling, Data warehousing concepts.
• Performance Optimization: Data pipeline performance tuning and cost optimization.
• Programming Languages: Python, SQL, PySpark

Secondary Skills

• DevOps and CI/CD: Azure DevOps, CI/CD pipeline design and automation.
• Security and Compliance: Implementing data security and governance standards.
• Agile Methodologies: Experience in Agile/Scrum environments.
• Leadership and Mentoring: Strong communication and coaching skills for team collaboration.

Soft Skills

• Strong problem-solving abilities and attention to detail.
• Excellent communication skills, both verbal and written.
• Effective time management and organizational capabilities.
• Ability to work independently and within a collaborative team environment.
• Strong interpersonal skills to engage with cross-functional teams.

Educational Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Relevant certifications in Azure and Data Engineering, such as:
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Databricks Certified Data Engineer Associate or Professional

About the Team

As a Senior Data Developer, you will be working with a dynamic, cross-functional team that includes developers, product managers, and other quality engineers. You will be a key player in the quality assurance process, helping shape testing strategies and ensuring the delivery of high-quality web applications.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Job Description:

We are seeking an experienced software developer to join our engineering team. The ideal candidate will be responsible for designing, building, and maintaining real-time trading dashboards and client-facing analytics platforms.

This role involves working with high-volume, low-latency, real-time data streams from dozens of global exchanges. The candidate should have strong proficiency in JavaScript/TypeScript and extensive experience with Node.js on the backend.

The successful candidate will also have experience with modern frontend frameworks, preferably React or Angular, for building complex, data-heavy applications.

• Main Responsibilities:

  • Design, build, and maintain real-time trading dashboards and client-facing analytics platforms
  • Consume and manage high-throughput, real-time data streams from numerous WebSocket and REST APIs
  • Develop robust, scalable backend services that process, aggregate, and serve large datasets to our frontend applications
  • Collaborate closely with quantitative traders and other departments to understand their needs and build the tools they need to succeed
  • Take ownership of the full development lifecycle, from technical design and implementation to testing and deployment
  • Participate in the technical migration

Requirements:

• Skillset:

  • 5+ years of professional software development experience
  • Strong proficiency in JavaScript/TypeScript and extensive experience with Node.js on the backend
  • Strong experience with a modern frontend framework, preferably React or Angular, for building complex, data-heavy applications
  • Deep experience consuming and managing real-time data from WebSocket and REST APIs
  • A strong understanding of core computer science fundamentals (data structures, algorithms) and a passion for writing clean, efficient, and reliable code
  • A genuine and demonstrable interest in financial markets, data, or the crypto industry

Bonus Points:

• Nice-to-Haves:

  • Experience in Trading, quantitative finance (TradFi), or another industry that deals with low-latency, high-throughput data
  • Familiarity with financial data or building trading interfaces
  • Experience with system design and building scalable microservices
  • A portfolio or GitHub profile showcasing relevant personal projects

Deliver high-quality big data solutions for clients across various industries by working with our team as a skilled and experienced SQL & Hadoop Developer.

We are looking for an individual with excellent problem-solving skills, able to communicate effectively and possessing a strong understanding of SQL and Hadoop.

The ideal candidate should have at least 3-4 years of experience in this field.

Key qualifications include good knowledge of SQL, Spark, and Hadoop, as well as good communication skills. Having banking knowledge is an added advantage.

• Job Title: SQL & Hadoop Developer
• Location: Singapore
• Experience: Minimum 3-4 years of experience.

Key Skills: Good in SQL, Must have knowledge in Spark & Hadoop, Good communication skills, Having Banking knowledge is added advantage.

Avensys is a global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation, and managed services.

As a dynamic and innovative team, we deliver high-quality solutions for clients across various industries. We look for passionate individuals who want to be part of our team and contribute to the success of our projects.

Tell Employers What You Can Do
Managed Services
Business Intelligence
Process Automation
Big Data
Pipelines
Healthcare
Hadoop
Supply Chain
Information Technology
MapReduce
SQL
Good Communication Skills
Banking
Consulting
Business Process
Professional Services

My Client

It is a global cryptocurrency exchange dedicated to providing secure, efficient, and innovative digital asset trading services. The platform offers a wide range of services, including spot trading, derivatives trading, and wealth management. They are looking for experienced and motivated Mobile app developer to join the dynamic team. The role involves working closely with other developers, designers, and product managers to create high-quality, user-friendly mobile apps that deliver exceptional user experiences.

Key Responsibilities:

• Develop scalable data processing architectures using Hadoop, Flink, and other Big Data tools.
• Implement and optimize data ingestion, transformation, and analysis pipelines.
• Design efficient data storage and retrieval mechanisms to support analytical needs.
• Work closely with business stakeholders to translate requirements into technical solutions.
• Ensure data quality, security, and compliance with industry standards.
• Identify and resolve performance bottlenecks in data processing systems.
• Keep up with advancements in Big Data technologies and recommend improvements.

Requirements:

• Degree in Computer Science, Information Technology, or a related field.
• 3+ years of hands-on experience in Big Data engineering.
• Proficiency in Hadoop, Flink, Kafka, and related frameworks.
• Experience with database modeling and large-scale data storage solutions.
• Strong understanding of data security best practices.
• Excellent analytical and troubleshooting skills.
• Effective communication and teamwork capabilities.
• A proactive mindset with a passion for data-driven innovation.

If it sounds like your next move, please don't hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

EA Registration Number: R

Business Registration Number: W. Licence Number: 18S9037

Job Description

An experienced PySpark developer is required to design and develop data ingestion frameworks in cloud-based environments.

Responsibilities include coding with Python and PySpark, managing XML frameworks for data ingestion into Snowflake Data Warehouse.

Required Skills & Qualifications

• Strong background in Python and PySpark.
• Hands-on experience with big-data frameworks in AWS resources.
• ETL framework expertise for high-frequency and volume data ingestions.
• Optimization skills for PySpark jobs.
• Automating data delivery and monitoring data quality.
• Git/GitLab expertise.
• Government Commercial Cloud requirements understanding.
• Proficient communication skills.
• Computer Science or equivalent degree.

Benefits

A motivated contributor passionate about software development.

Others

Familiarity with working in Government Commercial Cloud environments.

Responsibilities

· Study, evaluate, understand and provide feedback on functional specifications.

· Develop solutions following defined standards and high quality

· Provide detailed estimation for development of solutions

· Implement solutions using TDD, BDD approaches

· Perform non-functional testing

· Perform design and code review for other team members

· Prepare documentation for design and implementation

· Enable and support functional and user acceptance testing

· Perform L3 support of application in production – analyze and resolve issue as they arise.

Qualifications and Profile

· At least 8 years of relevant working experience in Java/J2EE development

· Hands on experience in big data technology development is preferred

· Bachelor or Technical Degree in Computer Science, IS, or IT is preferred

· Good understanding & working knowledge with Agile/Scrum

· Hands-on experience of end-to-end design and implementation of complex IT systems

Technical Skills

· Solution design using proven patterns, performance tuning.

· Devops / Release management / production support skills strongly preferred.

· Java/J2EE, Java 1.8 and above is preferred to implement Parallelism and Concurrency.

· Must have knowledge on Spark, Hadoop to analyze and transform large amount of data.

· Must have knowledge on HBase, elastic search to perform CRUD operations on big data.

· Must have good understanding on IBM MQ, Kafka for message processing.

· Should have knowledge on maven, gradle, Jenkins, UML build tools to manage and build project.

· Should have knowledge on GIT, GIT Lab, Junit, Cucumber, Jira, Sonar to manage/test source code effectively.

· Should have good knowledge on Spring, Spring REST, Web services, gRPC, Micro services, ORM framework to implement robust API’s.

· Must have knowledge on Kibana, spark UI, ELK to debug and identify the root cause of the issues.

· Good to have Knowledge of any relational data base like Oracle, My SQL.

Project Methodology:

Understanding of corporate banking and cash management domain.

Interested candidates please click Apply .

Please note that only shortlisted candidates will be notified. EA Registration No: R Links HR Singapore Pte Ltd | EA License No: 09C5322

Overview
Direct message the job poster from ST Engineering
ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported a revenue of over $11 billion in 2024 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial Aerospace
ST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.
Purpose of the Job
This role is primarily responsible for the design, development, test, implementation and post-implementation maintenance of the company’s data warehouse and analytics projects to deliver high value and actionable insights to aid stakeholders’ decision making to improve businesses.
Key Job Accountabilities
Create value through developing data analytics solutions that supports the company’s global objectives as well as internal business requirements
Proactively work with internal stakeholders to solicit data requirements to support business needs
Study complicate problems, provide source-to-target mappings and information specification documents for data sets
Perform data preparation of datasets that fulfils the project requirements
Work with both internal stakeholders and external vendors to design and implement appropriate data stores like databases, data warehouse and/or data lake to store data efficiently, keep the data up-to-date and serviceable for external systems or end-users to query
Utilise statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
Analyse and recommend specific types of data that can be used to derive features and rule-based approach for business applications
Develop, create best-practice reports based on data mining, analysis and visualization implement
Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems
Perform complete life cycle data generation and translate data that effectively communicate trends, patterns, and predictions into critical and coherent information for executive leadership
Support system testing and evaluation activities including onsite acceptance testing to validate and improve the models and algorithms
Required Experience and Qualifications
Candidate should have an analytical mind, attention to details for large datasets, and inclination for problem-solving
Able to generate comprehensive technical writings including queries, reports and presentations
Programming skills in at least one statistical programming language preferably Python, knowledge in Statistics and machine learning techniques.
Experience in one of the visualization tools, preferably Qlik, or any other relevant analytic tools
A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups
Seniority level
Executive
Employment type
Full-time
Job function
Information Technology and Engineering
Aviation and Aerospace Component Manufacturing and Engineering Services
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About the Role:

We are looking for a skilled Database Developer with hands-on experience in Oracle and MS SQL to join our IT team. The ideal candidate will design, develop, and maintain database solutions, optimize performance and ensure data integrity across systems. This role requires strong problem-solving skills and the ability to collaborate with business and IT teams to deliver robust data solutions.

Key Responsibilities:

• Design, develop, and maintain database objects including tables, views, stored procedures, triggers and functions in Oracle and MS SQL.
• Optimize database performance through query tuning, indexing and monitoring.
• Ensure data integrity, security, and backup/recovery procedures are implemented and maintained.
• Collaborate with developers, analysts, and business users to translate requirements into database solutions.
• Perform database troubleshooting, issue resolution and support for production systems.
• Assist in database migrations, upgrades and deployment activities.
• Create and maintain technical documentation for database designs, scripts and processes.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems or related field.
• 3–5 years of experience as a Database Developer or similar role.
• Hands-on experience with Oracle PL/SQL and MS SQL Server (T-SQL).
• Strong understanding of database design, normalization and relational modeling.
• Experience with performance tuning, query optimization and indexing.
• Knowledge of backup/recovery, security, and database monitoring tools.
• Strong analytical, problem-solving and communication skills.

Preferred:

• Experience with ETL processes, SSIS or data integration tools.
• Familiarity with reporting/BI tools like Power BI, Tableau or SSRS.
• Exposure to cloud database platforms (Azure SQL, Oracle Cloud) is a plus.

Please send your detailed resume in MS Word format to with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
3-4 years of working experience with MSS SQL development and database administration
Certifications related to database technologies (e.g., Oracle Certified Professional, Microsoft Certified: Azure Database Administrator Associate).
Experience and skills
writing queries and stored procedure
maintenance including indexing, tuning of the queries and jobs
Knowledge of cloud-based database platforms (e.g., Amazon RDS, Azure SQL Database).
Familiarity with data warehousing concepts and technologies.
Understanding of ETL (Extract, Transform, Load) processes.
Understanding of database security principles and experience implementing security controls.
Experience with database backup and recovery strategies.
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