Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.careerboard.com

Tech stack

Amazon Web Services Amazon S3 Information Engineering Data Governance Extract Transform Load (ETL) Python (Programming Language) Standard Sql Pyspark AWS Data Analytics Data Lakehouse Data Pipelines

Requirements

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with AWS Data Lakehouse.
• Expertise in AWS services: S3, Glue, EMR, Athena, Redshift and Lake Formation.
• Strong SQL, Python and PySpark skills.
• Experience with dbt, ETL/ELT pipelines and data modelling.
• Understanding of data governance, security and data quality.

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