Senior Data Platform Engineer - ETL & Snowflake Pipelines

Astek; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Astek is seeking an experienced Data Platform Engineer to support the development and operations of Data Warehouse. The role focuses on building and maintaining scalable data pipelines, ETL/ELT workflows, data platforms, and analytics engineering solutions, while providing ongoing production support.

You will collaborate with data and engineering teams to automate deployment, monitoring, and operations, optimise storage and query performance, and contribute to data governance and testing.

Qualifications

• Degree in Computer Science, Information Technology, or related discipline.
• ,

Responsibilities

• Develop and maintain data pipelines, ETL/ELT processes, and analytics engineering workflows to support advanced data search and retrieval.
• Collaborate with data and engineering teams to automate deployment, monitoring, and operational processes.
• Optimise data storage, processing, and query performance while troubleshooting technical issues.
• Coordinate with data engineers and stakeholders to support sprint planning and timely delivery.
• Perform BAU monitoring, investigation, troubleshooting, and incident resolution.
• Support data governance and data management initiatives.
• Provide day‑to‑day production and application support, ensuring platform stability and reliability.
• Develop and maintain unit and integration tests to ensure data and application quality.

Skills

Python

ETL

Unit and integration testing

Agile methodologies

Communication

Collaboration

Education

Degree in Computer Science or Information Technology

Tools

AWS

Kubernetes (K8s)

Snowflake

Databricks

Apache Spark

Apache Hive

Delta Lake

Apache Iceberg

Vector Databases

Apache Airflow

Dagster

Prefect

Temporal

GitHub workflows

Datadog

Job description

Astek is seeking an experienced Data Platform Engineer to support the development and operations of Data Warehouse. The role focuses on building and maintaining scalable data pipelines, ETL/ELT workflows, data platforms, and analytics engineering solutions, while providing ongoing production support.

You will collaborate with data and engineering teams to automate deployment, monitoring, and operations, optimise storage and query performance, and contribute to data governance and testing.