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Top Data Engineer Jobs in Singapore

33+ Job Results
22 Days Ago
Singapore
96 Employees
3-5 Years of Experience
96 Employees
3-5 Years of Experience
Information Technology • Consulting
Design, develop, and optimize Spark Scala applications and data processing pipelines integrated with Elasticsearch. Collaborate with stakeholders, troubleshoot issues, and stay updated on big data technologies trends.
24 Days Ago
Singapore
Remote
578,950 Employees
3-5 Years of Experience
578,950 Employees
3-5 Years of Experience
Big Data • Cloud • Logistics • Machine Learning • Retail
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
10 Days Ago
Singapore
Remote
41,000 Employees
7+ Years of Experience
41,000 Employees
7+ Years of Experience
Healthtech • Biotech • Pharmaceutical
Seeking an experienced Lead Data Engineer to build scalable solutions in Azure Platforms for Data & Analytics. Responsibilities include managing and administering Microsoft Azure, designing multi-region solutions, conducting Proof of Concepts, migrating infrastructure to cloud, implementing security controls, and supporting cloud adoption. Required skills include Azure experience, IaaS and PaaS solutions, agile framework, IaC development with Terraform and Azure CLI, Python, C#, Windows, Linux, networking, Azure services like AKS and ADLS, GIT, ADO, Terraform Cloud, Azure DevOps, Jira, and ServiceNow.
13 Days Ago
Singapore
Remote
13,285 Employees
3-5 Years of Experience
13,285 Employees
3-5 Years of Experience
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Seeking a Senior Data Analytics Engineer to work on Business Intelligence solutions, extract insights from large datasets, and provide recommendations for decision-making. The role involves designing reports, visualizations, and ensuring data accuracy and reliability. The ideal candidate will have 5 years of experience in Data Analytics or BI Engineering with proficiency in SQL and BI visualization tools like Google Looker.
14 Days Ago
Singapore
Remote
676 Employees
3-5 Years of Experience
676 Employees
3-5 Years of Experience
Artificial Intelligence • Machine Learning • Social Media • Software • App development
Design, develop, and maintain SQL data warehouses, build reports and dynamic dashboards, and manage data pipelines using Airflow for Cupid Media under Social Discovery Group.
3 Days Ago
Singapore
Remote
1,004 Employees
1-3 Years of Experience
1,004 Employees
1-3 Years of Experience
HR Tech
Seeking an Associate Team Lead to join the Data Engineering team at Remote, responsible for overseeing and mentoring a group of engineers to deliver high-quality data products and solutions. The team works on modern data tooling on the AWS platform, using SQL, Python, Snowflake, and dbt.
6 Days Ago
Singapore
1,073 Employees
3-5 Years of Experience
1,073 Employees
3-5 Years of Experience
Financial Services
Seeking a Data Architect to design and manage data architecture for robust, scalable, and secure data operations at OKX. Responsibilities include designing data architectures, developing data pipelines, promoting data governance, and optimizing data retrieval processes. Requires 3 years of experience in a data architect role and expertise in AWS services, PySpark, and Alibaba Cloud.
3 Days Ago
Singapore
Remote
499 Employees
7+ Years of Experience
499 Employees
7+ Years of Experience
Fintech • Payments • Financial Services
Lead the design, development, and delivery of data solutions using AWS core data services. Oversee technical aspects of data systems and ensure end-to-end delivery. Collaborate with business partners to translate requirements into technical solutions. Implement data management strategies and advocate for best practices in data engineering and AWS technologies.
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