IN_Senior Associate_AWS Data Engineer _GCC_ Advisory_ Bangalore
PwC India (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain ETL/ELT data pipelines using AWS services including Glue, Lambda, Step Functions, Data Pipeline, and EMR.
- Build and optimize data lakes and data warehouses with Amazon S3, Redshift, Athena, and Snowflake (if applicable).
- Ensure data quality, integrity, and security using AWS Lake Formation, IAM, and KMS, and implement data ingestion frameworks from various structured and unstructured data sources.
Minimum Requirements
- 4-7 years of relevant work experience in data engineering with AWS technologies.
- Mandatory technical skills: Strong proficiency in SQL, Python, PySpark, and expertise in AWS data ecosystem (Glue, Redshift, S3, Lambda, EMR, Athena).
- Educational qualification: Bachelor of Engineering or Bachelor of Technology degree; M.Tech, MBA, or MCA also acceptable.
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification preferred but not mandatory.
Ideal Candidate Profile
- Experienced in building and optimizing scalable data infrastructure and pipelines predominantly on AWS cloud platform.
- Strong hands-on expertise with data engineering tools and programming languages relevant to big data and cloud services.
- Able to handle end-to-end data processing workflows including ingestion, transformation, and securing data in enterprise environments.