Must have technical skill set:
- Robust hands-on experience with AWS data engineering stack such as AWS Glue, Amazon S3, AWS Lambda, Amazon Redshift, Amazon EMR, Athena, Step Functions, and CloudWatch.
• Good programming skills in Python and PySpark for building batch and large-scale data transformation pipelines.
• Strong SQL skills with experience in performance tuning, query optimization, complex joins, CTEs, window functions, and data validation.
• Experience in building end-to-end ETL/ELT pipelines, ingestion frameworks, and reusable data processing components.
• Good understanding of data warehousing, dimensional modeling, schema design, partitioning, and file formats such as Parquet/ORC/CSV/JSON.




• Experience in orchestration and scheduling using AWS-native tools and/or workflow orchestrators.
• Exposure to CI/CD pipelines, Git-based version control, code reviews, release deployments, and environment promotion processes.
• Knowledge of Linux/Unix commands and shell scripting for deployment, troubleshooting, and operational support.
• Strong debugging, problem-solving, and analytical skills with attention to data quality, reliability, and scalability.
• Good communication skills and ability to work with engineering, analytics, and business stakeholders.

📌 AWS Data Engineer (Pune)
🏢 Zorba Consulting India
📍 Pune