- Hands-on experience with PySpark, Python, and SQL.
- Strong expertise in AWS data services: S3, Lambda, Glue, Athena, Redshift, PostgreSQL, Step Functions.
- Good understanding of distributed data processing and data lake architecture.
- Nice to have: DynamoDB, Elasticsearch/OpenSearch, Kinesis, MSK, Kafka.
- Experience developing scalable ETL pipelines on AWS.
- Ability to analyze datasets, profile data, and optimize transformations.
- Understanding of CI/CD, version control (Git), and Agile delivery.
- Work on Rally sprint stories, developing end‑to‑end solutions using PySpark, Python, and SQL.
- Build and enhance ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and Redshift.
- Perform data analysis, code development, unit testing, production migration, and post‑production validation.
Desired Skills
AWS | AWS Admin | DevOps
Desired Candidate Profile
Qualifications : BACHELOR OF ENGINEERING
