IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore
PriceWaterhouseCoopers Pvt Ltd ( PWC )Job Description
IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.
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.
Mandatory skill sets:
Strong proficiency in SQL, Python, and PySpark.
Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.
Preferred skill sets:
AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Years of experience required:
4-8
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Informatica MDMOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
February 18, 2026Experience Level
Senior LevelJob role
Job requirements
About company
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