IN-Senior Associate_AWS Data Engineer_Advisory Corporate_Advisory_Bangalore
Quick Summary
6-8 years of hands on application to lead and perform the development with experience in one or more programming languages like Python, Pyspark etc.
B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering,
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities
~1 min read- →6-8 years of hands on application to lead and perform the development with experience in one or more programming languages like Python, Pyspark etc.
- →4-6 years of hands on experience in development and deployment of cloud native solutions leveraging AWS Services: Compute(EC2, Lambda), Storage (S3), Database (RDS, Aurora, Postgres, DynamoDB), Orchestration (Apache Airflow, Step Function, SNS),
- →ETL/Analytics(Glue, EMR, Athena, Redshift), Infra (Cloud Formation, Code Pipeline), Data Migration (AWS DataSync, AWS DMS), APIGateway, IAM etc.
- →Expertise in the handling large data sets and data models in terms of design, data model creation, development of data pipeline for data ingestion, migration and transformation
- →Strong on SQL Server, stored procedure
Knowledge on API's , SSO, streaming technology will be nice to have
AWS, Pyspark, Spark
Nice to Have
~1 min readAWS, Pyspark, Spark
Generative AI, JavaScript, Node.js, Python (Programming Language)6 - 8
Requirements
~1 min readB.Tech / M.Tech / MBA / MCA
Not SpecifiedLocation & Eligibility
Listing Details
- First seen
- October 11, 2026
- Last seen
- October 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 11, 2026
Signal breakdown
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