Senior Data Engineer: Databricks, PySpark & ETL Pipelines

Cadenza Solutions

Singapore

On-site

SGD 140,000 - 210,000

Full time

2 days ago

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Job summary

Cadenza Solutions is seeking a Senior Data Engineer to build scalable data pipelines, perform complex transformations, and support analytics workloads. The ideal candidate has hands-on Databricks on AWS, PySpark, and Python experience, with ETL orchestration and automation skills, plus a track record of delivering high-quality data for reporting and modeling across teams.

Strong communication in client-facing environments and the ability to refactor Informatica DEI workflows into Databricks when

Qualifications

Minimum 8 years of experience in Data Engineering.
Strong proficiency in Databricks on AWS, PySpark, and Python.
Experience with ETL development, data transformations, data quality frameworks, and pipeline automation.

Responsibilities

Design and implement robust, scalable data pipelines using Databricks on AWS and PySpark.
Perform data ingestion, transformation, cleansing, and validation from various sources.
Collaborate with analytics and data science teams to deliver high-quality data for reporting and modeling.
Understand and translate Informatica DEI workflows into Databricks-based implementations (if applicable).
Optimize and automate ETL workflows for performance and cost-efficiency.
Ensure data quality, lineage, and governance are upheld in all solutions.