7 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, Data Pipeline, and EMR.
- Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake when applicable.
- Implement and manage data ingestion frameworks for structured and unstructured sources, including APIs, RDBMS, and streaming data.
- Ensure data quality, integrity, and security using AWS Lake Formation, IAM, and KMS.
- Develop data integration and transformation solutions for client data and analytics environments.
Requirements
- 4–7 years of experience.
- Strong proficiency in SQL, Python, and PySpark.
- Expertise in the AWS data ecosystem, including Glue, Redshift, S3, Lambda, EMR, and Athena.
- Bachelor of Engineering or Bachelor of Technology; the posting also lists B.Tech, M.Tech, MBA, or MCA qualifications.
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification is preferred.
- Experience with data engineering is required; Azure Service Fabric is also listed among the required skills.
Benefits
- Inclusive benefits, flexibility programs, wellbeing support, mentorship, and professional growth opportunities.
- PwC describes a collaborative, values-driven client advisory environment with equal employment opportunities.
- Travel requirements are not specified.
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.