interaction between data source) Data Warehousing

Role : -

5+ or more years of hands-on experience on the AWS Services, especially AWS Glue ETL.

Strong hands-on experience in AWS Glue, Step functions, AWS S3,Redshift, Lambda.

Strong hands-on experience in Postgres and Mongo databases .

Strong hands-on experience in developing Glue etl with Pyspark, specially handling complex unstructured data in a structured manner.

Strong hands-on experience in debugging and scheduling AWS glue jobs.

Experienced in handling methodologies in AWS like defining workflow, error handling, alerting, implementing role based security or row level security etc.

Should have strong knowledge on data warehousing concept

Qualifications

Graduate from any stream

Additional Information

Good Communication Skills required.