Overview

Work Location: Remote

Experience 6+ years

kindly prioritize this role and start sharing relevant profiles at the earliest and would appreciate your support in sourcing quality profiles as per the JD mentioned below.

Remote 6 months and more

Senior Associate AWS Data Engineer 6 to 10 Years

Manager AWS Data Engineer 10+ Years

Key Responsibilities

• Design, develop, and deploy robust, scalable, realtime AWSbased data solutions aligned with PwC’s high standards and client business objectives.
• Architect and maintain secure, compliant data lake and warehouse solutions utilizing AWS services such as S3, Redshift, EMR, Lambda, Kinesis, and more.
• Build efficient ETL/ELT workflows that support diverse, complex data sources, and enable timely data availability for analytics and reporting.
• Lead the creation and optimization of eventdriven, streaming data pipelines that support advanced analytics, AI/ML models, and decisionmaking processes.
• Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into effective technical solutions.
• Ensure adherence to PwC’s rigorous data governance, security, and privacy policies throughout the solution lifecycle.
• Implement automation and DevOps best practices within data engineering pipelines to enhance reliability, scalability, and deployment velocity.
• Stay abreast of AWS innovations and industry trends to continually bring new opportunities to PwC’s data practice and clients.

Preferred Qualifications

• Proven experience building enterpriselevel data engineering solutions on AWS, supporting largescale data initiatives.
• Proficiency in Python and handson experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
• Solid handson experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
• Handson expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, EMR, Glue and SQS.
• Strong data modeling skills and experience designing ETL/ELT pipelines for batch and realtime ingestion.
• Familiarity with CI/CD pipelines, version control, and infrastructureascode tools (CloudFormation, Terraform).
• Exceptional analytical skills with a proactive, problemsolving approach and a strong customer orientation.
• Excellent communication and collaboration skills suited for a consulting environment involving clients and internal teams.
• Bachelor’s or higher degree in Computer Science, Information Systems, Engineering or related fields; AWS certification(s) highly desirable.