Jobs → Data & Analytics → Python Data Engineer

About the Role We are looking for a Python Data Engineer to join our team. This role focuses on designing, developing, and maintaining data pipelines using Python and PySpark. Key Responsibilities • Design, develop, and maintain data pipelines using Python and PySpark • Build and optimize ETL/ELT processes for large datasets • Perform data transformations, validation, and reconciliation using SQL and Oracle • Develop data models and improve data processing performance • Optimize Spark jobs, joins, partitioning, and SQL queries • Implement data-quality checks and troubleshoot production issues • Collaborate with database, application, QA, and DevOps teams Requirements • Strong Python and PySpark experience • Advanced SQL and Oracle database knowledge • ETL/ELT, Data Pipelines, and Data Modeling • Spark DataFrames, transformations, joins, caching, and optimization • Production troubleshooting and data-quality management • Banking or Financial Services experience preferred Nice to Have • Databricks, AWS/Azure, Kafka, Airflow, Snowflake, Data Lakes, GenAI, and ML