ETL Data Engineer

JOB DESCRIPTION / REQUIREMENT

Role Overview :

We are looking for a Senior Data Engineer with 5+ years of experience in Big Data technologies . The ideal candidate will have strong hands-on experience in Spark , PySpark , and Databricks , and be capable of building scalable and reliable data pipelines. Knowledge of DevOps practices and containerization tools is a plus.

Primary Responsibilities :

• Develop and maintain scalable data pipelines for large-scale data processing.
• Translate business requirements into technical specifications and efficient ETL code.
• Work independently to develop and optimize Spark / PySpark pipelines.
• Write complex business logic using PySpark and Spark SQL.
• Understand and manage Spark clusters and parallel data processing.
• Develop unit tests for ETL components to ensure data integrity and quality.
• Build modular, reusable code functions to streamline development.
• Work with Athena : create tables, indexes, and write complex SQL queries.
• Integrate data from relational databases (Oracle, SQL Server) and NoSQL databases (e.G., MongoDB).

Technical Skills Required (Primary) :

Secondary / Desirable Skills :