We are looking for a Python Data Engineer to develop reliable and scalable data processing solutions for a banking workplace. The candidate should be comfortable working with large datasets, data pipelines and distributed processing frameworks.

Key Responsibilities
Develop scalable data pipelines and transformation processes using Python and PySpark.
Design and implement data models for enterprise data processing requirements.
Develop efficient SQL queries and perform complex data transformations.
Build, test and optimize ETL/ELT pipelines for large-scale data.
Perform data validation, quality checks and troubleshoot data pipeline issues.
Work with application, analytics and engineering teams to deliver reliable data solutions.

Required Skills
7+ years of experience in data engineering or software/data development.
Strong hands-on Python programming skills.
Strong SQL and relational database experience.
Hands-on Apache Spark / PySpark experience.
Solid understanding of data modeling, ETL/ELT and data pipeline concepts.
Experience working with large datasets and distributed processing.
Solid coding and problem-solving skills.
Banking / Financial Services experience is preferred.

📌 Python Data Engineer Chennai (India)
🏢 360 Technology
📍 India