AWS Big Data Engineer _ Immediate Joiners

\\Exp: 6+ Years Only

Key Responsibilities:

• Design, develop, and deploy robust, scalable, real-time AWS-based data solutions aligned with PwCs 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 event-driven, streaming data pipelines that support advanced analytics, AI/ML models, and decision-making processes.
• Partner with PwC consultants, data scientists, BI engineers, and client teams to translate business problems into effective technical solutions.
• Ensure adherence to PwCs 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 PwCs data practice and clients.

Preferred Qualifications:

• Proven 6+ experience building enterprise-level data engineering solutions on AWS, supporting large-scale data initiatives.
• Proficiency in Python and hands-on experience with data orchestration tools (Apache Airflow, AWS Step Functions, or equivalent).
• Solid hands-on experience of distributed data frameworks and streaming technologies such as Apache Spark, Kafka, and Hive.
• Hands-on 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 real-time ingestion.
• Familiarity with CI/CD pipelines, version control, and infrastructure-as-code tools (CloudFormation, Terraform).
• Exceptional analytical skills with a proactive, problem-solving 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.