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Kolkata · On-site · 5-8 Yrs · Sep 1
Accounting & Tax · 10000+ Employees · New York, US
Hiring: Engineering
What employees say
+ You get to learn a lot there, and I had an opportunity to work in the client location.
− Career and financial growth is slower.
More reviews on the company profile.
Interview experience · Summer Associate
2 interviews and an HR round Had one case interview and one interview about Indian defense Policy and strategy The case interview had 2 parts with one small presentaion towards the end The HR round was standart more l
Average difficulty · Bengaluru · 2,675 reports
More interview insightsJob description
Overview
Data, Analytics & AI Management Level
Responsibilities
- Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
- Implement direct-to-Aurora ingestion strategies for snapshots and delta loads.
- Ensure referential integrity, correct processing order, idempotency, and recovery mechanisms.
- Build monitoring, validation, and reconciliation frameworks for production data pipelines.
- Manage scalability and throughput during high-volume EOD ingestion workloads.
- Expert-level SQL development and performance optimization.
- Strong proficiency in SQL, Python, and PySpark .
- Hands-on experience with ETL pipelines and orchestration frameworks.
- Solid understanding of ACID-compliant data ingestion principles.
Qualifications
- Exposure to cloud-native architectures and AWS tools such as Glue, Step Functions, Lambda, and DMS.
- Familiarity with distributed PostgreSQL systems.
- Exposure to event-driven architectures such as Kafka.
- Minimum 3 years of relevant work experience, typically reflecting 5+ years in data engineering, data integration, or related roles.
- Proven track record of building resilient and idempotent ingestion frameworks.
- Strong operational mindset, including monitoring, alerting, and maintaining runbooks.
- Amazon Web Services (AWS), Data Engineering
- Optional Skills
- Desired Languages (If blank, desired languages not specified)
- Travel Requirements
- Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date
- August 24, 2026
Education
- BE, B.Tech, ME, M.Tech, MBA, MCA or equivalent qualification preferred
- Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:
- Certifications (if blank, certifications not specified)
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Job application FAQ
Last updated 17 September 2026
- How do I apply for IN_Associate – AWS Data Engineer – Data and Analytics – Advisory – Kolkata at PWC?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PWC may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is IN_Associate – AWS Data Engineer – Data and Analytics – Advisory – Kolkata remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this IN_Associate – AWS Data Engineer – Data and Analytics – Advisory – Kolkata role at PWC?
- This is a mid-level IN_Associate – AWS Data Engineer – Data and Analytics – Advisory – Kolkata role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.