• Design, build, and maintain scalable ETL/ELT data pipelines. • Develop data processing workflows using Python and PySpark. • Work with Databricks and Snowflake for data storage, transformation, and analytics. • Integrate data from multiple sources while ensuring data quality and integrity. • Optimize SQL queries and improve data pipeline performance. • Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions. • Monitor, troubleshoot, and maintain data workflows. • Document data models, pipelines, and technical processes. Requirements • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. • Strong proficiency in Python, PySpark, and SQL. • Hands-on experience with Databricks and Snowflake. • Good understanding of ETL/ELT pipeline development. • Familiarity with PyTorch is an added advantage. • Knowledge of data warehousing concepts and cloud platforms is preferred. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities.