We are looking for an experienced AWS Data Engineer with robust hands-on expertise in Databricks and ETL development.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines on AWS.
Develop and manage ETL/ELT workflows using Databricks and Apache Spark.
Work with PySpark/Python and SQL for data processing and transformation.
Build and maintain data solutions using AWS S3, AWS Glue, Redshift and related AWS services.
Perform data integration, cleansing, transformation, and validation.
Optimize Databricks jobs and data pipelines for performance and reliability.
Collaborate with business and technical teams to deliver data engineering solutions.