Offer summary

Qualifications:

6+ years of experience with AWS services such as S3, Athena, and Glue., Strong understanding of data warehousing and ETL development., Technical proficiency in SQL, Python, and data pipeline construction using Pyspark., Excellent communication skills to liaise with both business and technical teams..

Key responsibilities:

Ensure adherence to best data engineering practices.

Build and maintain data quality frameworks.

Develop data pipelines using SQL, Python, and Pyspark in AWS.

Analyze business issues related to data management and governance.

Job description

Location: Pune/kolkata

Skillset we are looking for:

6+ experience with Cloud technologies, especially AWS services (S3, Athena, Glue, DynamoDB, Step Functions, etc).

Strong understanding of Redshift, EMR, Athena, Aurora, Kinesis, Lambda, EC2, Python etc.

Must have Technical strength in SQL, Cloud Technologies, ETL development and data warehousing..

Ensure best data engineering practices followed.

Ability to communicate with business team as well as Technical team.

Experience in building Data Quality framework.

Excellent analytical ability to understand business issues associated with data management and governance, business processes in terms of data, and related standards, data security and privacy

Experience in building data pipelines using SQL, Python & Pyspark in AWS

Required profile