Gen AI + Data Engineer ( Kolkata )

PwC India; Kolkata District; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

PwC India is seeking a Senior Associate - Data Engineering + AI with 4-8 years of experience to design and build scalable data solutions across Azure, AWS or GCP. You will work on data pipelines, transformations, and integrations, enabling AI-led solutions and intelligent document processing.

Strong skills in SQL, Python, and CI/CD are expected. You will contribute to building modern data platforms supporting analytics, insights, and enterprise data intelligence in a Pan-India setting,

Qualifications

• Must have experience in SQL, Python, ETL / ELT and data pipelines.
• Strong experience in data transformation, validation, and enterprise data integration.
• Experience with structured and unstructured data.
• Ability to build and support scalable data driven applications and APIs.
• Familiarity with version control and CI/CD practices.
• Exposure to Generative AI / LLM use cases such as RAG, agents, semantic search, or intelligent document processing would be a strong advantage.

Responsibilities

• Develop and maintain scalable data pipelines and architectures.
• Collaborate with AI teams to implement AI-led data solutions.
• Build APIs and data applications supporting analytics and reporting.
• Ensure data quality, validation, and governance across data platforms.

Skills

SQL

Python

ETL/ELT

Data pipelines

Data transformation

CI/CD

Generative AI

Tools

Azure

AWS

GCP

Job description

Senior Associate - Data Engineering + AI

Experience: 4-8 years

Location: Pan India

We are currently looking to connect with talented professionals for the role of Senior Associate - Data Engineering + AI.

This opportunity is ideal for someone with 4-8 years of experience and a strong foundation in data engineering, combined with an interest or exposure to AI-led solutions. We are looking for individuals who have worked extensively on Azure, AWS or GCP and bring hands‑on expertise in building modern, scalable data solutions.

Key areas were looking for:

• Must have experience in SQL, Python, ETL / ELT and data pipelines
• Strong experience in data transformation, validation, and enterprise data integration
• Experience with structured and unstructured data
• Ability to build and support scalable data driven applications and APIs
• Familiarity with version control and CI/CD practices
• Exposure to Generative AI / LLM use cases such as RAG, agents, semantic search, or intelligent document processing would be a strong advantage