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IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore
Pwc
Bengaluru, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
GlueLambdaStep FunctionsData PipelineEMRAmazon S3
Free
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GlueLambdaStep Functions
Role Overview
A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Key Skills for This Role
GlueLambdaStep FunctionsData PipelineEMRAmazon S3
Full Job Posting
Job Description & Summary
A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities
- 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.
- Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.
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