23 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Lead and perform hands-on development of scalable data engineering solutions using Python, PySpark, and related programming languages.
- Design, deploy, and operate AWS cloud-native data platforms using compute, storage, database, ETL, orchestration, migration, and infrastructure automation services.
- Build data pipelines and workflows for ingestion, migration, transformation, and analytics across large datasets and complex data models.
- Design and manage database solutions using RDS, Aurora, PostgreSQL, and DynamoDB, and optimize SQL Server queries and stored procedures.
- Implement secure service integrations, access controls, infrastructure as code, deployment automation, and enterprise governance and compliance.
- Collaborate with architects, analysts, business stakeholders, and cross-functional teams while leading development efforts.
Requirements
- 6–8 years of hands-on experience leading and performing development with Python, PySpark, or related programming languages.
- 4–6 years of experience developing and deploying cloud-native solutions on AWS, including EC2, Lambda, S3, RDS, Aurora, PostgreSQL, and DynamoDB.
- Hands-on experience with Apache Airflow, AWS Step Functions, SNS, AWS Glue, EMR, Athena, Redshift, CloudFormation, CodePipeline, AWS DataSync, and AWS DMS.
- Strong experience handling large datasets and data models and developing pipelines for ingestion, migration, and transformation.
- Strong hands-on experience with SQL Server and stored procedures.
- Working knowledge of API Gateway and IAM, plus strong problem-solving, analytical, communication, collaboration, and independent-working skills.
- 4–10 years of total experience required.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field; the posting specifically lists Bachelor of Engineering and Master of Engineering.
- Preferred: knowledge of APIs and API integration patterns, familiarity with SSO implementations, and exposure to Kafka, Kinesis, or similar streaming technologies.
Benefits
- Inclusive benefits, flexibility programmes, wellbeing support, mentorship, and opportunities for learning and professional growth.
- The role is based in Bangalore; travel requirements are not specified.
Tech Stack
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.