- 4- 8 years of experience in Data Engineering or Data Platform roles
- Solid experience in Python development & with Spark Framework
- Strong programming skills in PySpark (ETL logic, data validation, testing)
- Handson experience with AWS data services, including:
- Lake Formation, S3, Glue, EMR, Step Functions
- Lambda, Kinesis (for streaming or eventdriven pipelines)
- Solid understanding of data warehousing concepts and ETL/ELT patterns
- Experience working with largescale datasets in production environments
- Experience with CI/CD, Git, Terraform and automated testing for data pipelines
- Experience with scripting language(s): Python (preferred), PowerShell , Configuration as Code principles and API integration