Associate – Data & Analytics Engineering (Data Engineering)

PwC — Pune, Maharashtra

₹3–7 LPA (HireSetu estimate) · Entry level · Freshers eligible · Full-time · Apply by 10 Nov 2026

HireSetu listing reference da0ce8 — confirm requirements below, then apply on the employer site.

Quick answer: An associate-level data engineering job in Pune inside PwC's advisory arm, building pipelines, integration and transformation work for clients, with AWS, Azure and Airflow named as the tools. The description cares as much about how you handle vague briefs as about your stack.

From PwC's job posting

Job Description & Summary

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Education (if blank, degree and/or field of study not specified)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Job Posting End Date

November 10, 2026

The employer’s company overview, benefits, equal-opportunity statement and generic skills tables are left out here; they are on the original posting.

Text from PwC's official job posting, formatted by HireSetu. The employer's own page is the final word on details.

Client work, with the brief half-written

PwC files this under Advisory and Operations, so the output goes to clients, not to one internal product. A good chunk of the description is about relationships, ambiguity and asking questions when the path isn't clear. Read that as the real shape of the job: you'll get a problem with gaps in it and be expected to fill them in with your team.

Consulting associates move between engagements, so the cloud account, the codebase and the people change every few months. That suits someone who enjoys variety and doesn't mind being the new person on a project again. It grinds down people who want two straight years on one system.

The role is full-time in Pune, and PwC states no visa sponsorship, so the practical pool is people already eligible to work in India.

Airflow is the tool to know cold

The named skills are AWS, Azure, Airflow and Agile. Airflow deserves the most preparation: DAGs, scheduling, retries, backfills, and what you do when a task dies halfway and leaves a table partly loaded. Pick whichever cloud you know better and be ready to talk through storage, compute and a managed pipeline service on it.

The longer skills list reads like a standard modern stack: Databricks, Azure Data Factory, Hadoop, data lakes, data modelling, database tuning, even data anonymisation. Nobody covers that in one role, so don't panic at the length. Get comfortable with SQL and with the difference between a full load and an incremental one, and keep one project in your pocket where you moved real data from a source into a table somebody actually queried.

Agile is listed as a skill, which in a client setting means sprints that get re-scoped. Have an example of how you handled a change mid-delivery.

Prepared from PwC's job posting and checked against it before publishing. See our Editorial Policy.

How to apply

  1. The Apply button opens this job on PwC's careers site (pwc.wd3.myworkdayjobs.com).
  2. Its requisition number is 002691-1; search for it on the careers site if the link ever stops working.
  3. Applications close on 10 Nov 2026.
  4. Workday logins are separate for every company, so you need an account made for PwC.

Apply on PwC's site

No fees, ever. HireSetu never charges candidates, and no genuine employer asks for money to apply, interview or join. If anyone asks you to pay, stop and report the job.

Similar openings on HireSetu

View Associate – Data & Analytics Engineering (Data Engineering) on HireSetu · Data Science jobs · Jobs in Pune · Career Insights · FAQ · Companies

HireSetu
Career Intelligence Platform