Python/ETL Developer

About the role

We are hiring a Python/ETL Developer to build and maintain high-performance data engineering platforms for enterprise-scale product ecosystems. The role focuses on designing scalable data pipelines, implementing modern ETL frameworks, and delivering reliable data solutions for mission-critical financial services applications.

What you'll do

• Design, develop, and optimize scalable batch and real-time data pipelines capable of handling high-volume data workloads
• Build robust Python and PySpark applications to support enterprise data engineering and analytics use cases
• Develop and maintain ETL frameworks using Apache Spark, DBT, and Airflow for efficient data processing
• Implement data governance, lineage, security, and compliance standards across multiple data layers
• Design scalable system architectures and ensure reliability, availability, and performance of data platforms

What you need

• 5–8 years in data science & ai
• Python
• ETL
• SQL
• Spark
• Data modelling
• Airflow
• B.Tech or B.E. or M.Tech

Good to have

• Machine learning
• LLMs
• Kafka
• AML
• Kubernetes
• Linux