We are looking for a Data Pipeline Engineer with strong expertise in Databricks, AWS Glue, Python, SQL, and MongoDB to design, develop, and optimize scalable data pipelines. The ideal candidate should have experience building cloud-native ETL solutions, transforming large datasets, and delivering high-quality data for analytics and business applications.

Key Responsibilities:
● Develop and maintain scalable ETL/data pipelines using Databricks and AWS Glue.
● Build data ingestion and transformation workflows for structured and semi-structured data.
● Write efficient PySpark, Python, and SQL code for large-scale data processing.
● Integrate data from multiple sources, including MongoDB and relational databases.
● Implement data quality, validation, and reconciliation checks.
● Optimize pipeline performance, reliability, and scalability.
● Collaborate with architects, analysts, and application teams to deliver data solutions.
● Support prod...