ETL Developer

Job Summary :

We are seeking a highly skilled and experienced Senior ETL Developer with strong expertise in PySpark, Python, along with a solid background in ETL (Extract, Transform, Load) processes across relational databases and cloud platforms. The ideal candidate will have a minimum of 5 years of hands-on experience developing scalable data pipelines and ETL workflows using modern tools and frameworks.

Responsibilities :

• Design, develop, and maintain ETL pipelines using PySpark and Python for large-scale data processing.
• Implement validation logic as part of ETL workflows.
• Work with relational databases (e.g., Oracle, PostgreSQL, SQL Server) to extract, transform, and load data efficiently.
• Develop and optimize data pipelines on cloud platforms (AWS) using Spark-based frameworks (Data Frames).
• Collaborate with data architects, analysts, and other stakeholders to understand requirements and deliver reliable data solutions.
• Ensure data integrity, performance, and quality in all ETL processes.
• Participate in code reviews, testing, and deployment of data solutions.

Required Qualifications :

Preferred Qualifications :

Show more

Show less

Skills Required

Postgresql, Performance Tuning, Pyspark, Sql Server, Data Modeling, Sql Queries, Relational Databases, Oracle, Python, Aws