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AWS Data Engineer (PySpark, Python, SQL)

Actively Reviewing

Zorba AI

Chennai Full-Time 4–8 yrs exp Posted 7 hours ago · Apply by Sep 16, 2026

Job Description

Must Have Technical Skill Set

Strong 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.

Skills: json,amazon redshift,linux,aws,sql,pipelines,python