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Data Engineer (Databricks)

Rapsys Technologies Pte. Ltd

Singapore, SGonsitePosted Jun 2, 2026
Posting intelligenceActively listedReposted 16×, possible evergreen/ghost posting

Skills

databricksterraformtableauairflowpythonazuresparkjiracicdgooglecloudaws

About the role

Key Responsibilities:

Transform and clean data using SQL & Python in Databricks

Build dashboards using Power BI / Tableau

Ensure data quality and consistency

Collaborate with stakeholders to deliver insights

Create documentation for data workflows and dashboards

Data Pipeline Development: Design, build, and maintain scalable ETL/ELT processes using Databricks and Spark.

Spark Optimization: Tune and optimize Spark jobs and data transformations for performance.

Lakehouse Architecture: Implement data reliability, governance, and security using Delta Lake and Unity Catalog.

Workflow Orchestration: Automate data workflows using Databricks Workflows or tools such as Airflow.

Collaboration: Work with analysts and business stakeholders.

Requirements:

Strong SQL and Python skills

Experience with dashboarding tools (Power BI/Tableau)

Familiarity with Databricks or big data platforms

Languages: PySpark, SQL.

Databricks Features: Delta Lake, Structured Streaming, Delta Live Tables (DLT).

Cloud Platforms: AWS, Azure, or GCP.

DevOps: Git, Terraform, CI/CD practices.

Tools: Databricks Notebooks, Databricks Repos.

Good to Have:

Spark / PySpark

Git, JIRA, or QA/testing experience

Pay: Up to $7,000.00 per month

Experience:

Databricks: 3 years (Required)

Work Location: In person

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