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 effective 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

📌 Aws Data Engineer (Chennai)
🏢 Careernet
📍 Chennai