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cadenza solutions pte. ltd.

Singapore / Global

Senior Data Engineer

Job Description

Role Overview :

We are seeking a highly skilled

Senior Data Engineer

with a strong background in building scalable data pipelines, performing complex data transformations, and enabling analytics workloads.

The ideal candidate should have hands-on experience with Databricks on AWS, PySpark, and Python, with a working understanding of ETL orchestration and automation.

Familiarity with Informatica DEI is a plus, as the role may involve refactoring existing Informatica workflows into PySpark.

Key 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 Required Skills & Experience:

Minimum 8 years of experience in Data Engineering

Strong proficiency in Databricks on AWS, PySpark, and Python

Solid experience in ETL development, data transformations, cleaning, data quality frameworks/standards, and pipeline automation

Understanding of data quality principles and performance tuning techniques . Familiarity with Informatica DEI is a nice to have

Excellent communication skills in client-facing environments

2. SKILLS

Data Engineering, Data Science, ETL, Informatica, Java

Apply Now

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