IN_Senior Associate_AWS Data Engineer _GCC_ Advisory_ Bangalore

About the role

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world.

What you'll do

• Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR)
• Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable)
• Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.)
• Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS
• Strong proficiency in SQL, Python, and PySpark

What you need

• AWS
• Azure Data Factory
• Data analysis
• Airflow
• Hadoop
• Databricks
• MBA or MCA or B.Tech or B.E. or M.Tech

Good to have

• SQL
• Python
• ETL
• Redshift
• Azure
• Spark