Key skills
PythonSQLETLELTData EngineeringData WarehousingData LakeRedshiftSparkAWSLambdaS3GlueAthenaKinesisGitCI/CD
About this role
Required Qualifications
- 5+ years of experience in Data Engineering with strong hands-on AWS experience.
- Strong experience with AWS data services, including S3, Glue, Lambda, Redshift, Athena, EMR, or Kinesis.
- Strong programming skills in Python and SQL.
- Hands-on experience with PySpark / Spark and distributed data processing.
- Experience developing enterprise-scale ETL/ELT pipelines and data integration solutions.
- Strong understanding of data warehousing, dimensional modeling, and data lake architectures.
- Experience with relational databases and SQL-based data validation.
- Strong experience with AWS cloud architecture and data engineering best practices.
- Experience with CI/CD, Git, and automated deployment processes.
- Strong troubleshooting, analytical, and problem-solving skills.