Aws Data Engineer

Job description

**Key Skills:** AWS, SQL, AWS Cloud, Pyspark, Databricks, Python, Redshift, Hadoop **Roles and Responsibilities:** - Develop and maintain ETL/ELT pipelines using Python and PySpark for large-scale data processing. - Write and optimize SQL for data modeling, transformations, and analytics workloads. - Build and orchestrate data jobs using AWS Glue and AWS Databricks, ensuring efficient execution and maintainable code. - Design data ingestion and transformation workflows that load curated datasets into Amazon Redshift. - Monitor pipeline performance, troubleshoot data issues, and improve reliability and processing efficiency. **Skills Required:** - 5-10 years of relevant experience in data engineering - Python (including common resume forms like py or python) - PySpark for distributed data processing and transformations - SQL for querying, data modeling, and performance optimization - AWS Glue, AWS Databricks, and Amazon Redshift for building production data pipelines and analytics storage **Education:** Bachelor's Degree in Computer Science or related field