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Designs, builds, deploys, and operates scalable cloud data lakehouse platforms and production ETL/ELT pipelines. Responsibilities include data architecture, open table formats, automated data quality, governance, access controls, CI/CD, infrastructure as code, analytics and AI enablement, documentation, monitoring, incident response, and cost optimization. The role collaborates with technical and business stakeholders across Databricks, Spark, AWS, and Microsoft Fabric environments.
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We are looking for a highly motivated and skilled Data Engineer
Key Responsibilities- Build and maintain robust, scalable ETL pipelines across batch and real-time data sources.
- Design and implement data transformations using Spark (PySpark/Scala/Java) on Hadoop/Hive.
- Stream data from Kafka topics into data lakes or analytics layers using Spark Streaming.
- Collaborate with cross-functional teams on data modeling, ingestion strategies, and performance optimization.
- Implement and support CI/CD pipelines using Git, Jenkins, and container technologies like Docker/Kubernetes.
- Work within cloud and on-prem hybrid data platforms, contributing to automation, deployment, and monitoring of data workflows.
Skills
- Strong programming skills in Python, Scala, or Java.
- Hands-on experience with Apache Spark, Hadoop, Hive, Kafka, HBase, or related tools.
- Sound understanding of data warehousing, dimensional modeling, and SQL.
- Familiarity with Airflow, Git, Jenkins, and containerization tools (Docker/Kubernetes).
- Exposure to cloud platforms such as AWS or GCP is a plus.
- Experience with Agile delivery models and collaborative tools like Jira and Confluence.
- Experience with streaming data pipelines, machine learning workflows, or feature engineering.
- Familiarity with Terraform, Ansible, or other infrastructure-as-code tools.
- Exposure to Snowflake, Databricks, or modern data lakehouse architecture is a bonus.
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
