IN_Senior Associate_Databricks Data Engineer_GCC_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Price Waterhouse Cooper LLP is seeking a Data Engineer – Databricks to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. You will work hands-on with Apache Spark, PySpark, Delta Lake, and cloud‑native services, collaborating with analytics, AI/ML, and business teams to deliver production data solutions.

You will mentor junior engineers, optimize Spark jobs for performance and cost, ensure data quality and governance, and contribute to best practices in an

Qualifications

• 4+ years of experience as a Data Engineer with strong Databricks expertise.
• Hands-on experience with Apache Spark, PySpark, and Spark SQL.
• Strong knowledge of Delta Lake and Lakehouse architecture.
• Advanced SQL skills.
• Experience with ETL/ELT patterns and data warehousing concepts.
• Exposure to at least one cloud platform (Azure / AWS / GCP).
• Understanding of distributed computing concepts.
• Experience working in Agile teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark / Spark SQL).
• Implement batch and incremental data processing using Delta Lake and multi-hop architecture.
• Develop and optimize Databricks notebooks, jobs, and workflows.
• Ingest, transform, and curate large-scale structured and semi-structured datasets.
• Support analytics, reporting, and downstream data consumption use cases.
• Ensure data quality, reliability, lineage, and governance.
• Collaborate with data scientists, analysts, and architects on AI/ML workloads.
• Optimize Spark jobs for performance and cost efficiency.
• Adhere to enterprise security, access control, and compliance standards.
• Provide production support and troubleshoot data pipeline issues
• Document technical designs, data flows, and operational runbooks
• Mentor junior engineers and contribute to best practices

Skills

Databricks

Apache Spark

Spark SQL

Delta Lake

SQL

ETL/ELT

Cloud platforms

Agile

Education

Bachelor of Engineering

Bachelor of Technology

Tools

Snowflake

Unity Catalog

Auto Loader

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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.

Job Description & Summary

We are seeking an experienced Data Engineer – Databricks to design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands‑on development using Apache Spark, Databricks notebooks, Delta Lake, and cloud‑native services, along with close collaboration with analytics, AI/ML, and business teams

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark / Spark SQL)
• Implement batch and incremental data processing using Delta Lake and multi-hop architecture
• Develop and optimize Databricks notebooks, jobs, and workflows
• Ingest, transform, and curate large-scale structured and semi-structured datasets
• Support analytics, reporting, and downstream data consumption use cases
• Ensure data quality, reliability, lineage, and governance
• Collaborate with data scientists, analysts, and architects on AI/ML workloads
• Optimize Spark jobs for performance and cost efficiency
• Adhere to enterprise security, access control, and compliance standards
• Provide production support and troubleshoot data pipeline issues
• Document technical designs, data flows, and operational runbooks
• Mentor junior engineers and contribute to best practices

Mandatory skill sets

• 4+ years of experience as a Data Engineer with strong Databricks expertise
• Hands‑on experience with Apache Spark, PySpark, and Spark SQL
• Strong knowledge of Delta Lake and Lakehouse architecture
• Advanced SQL skills
• Experience with ETL/ELT patterns and data warehousing concepts
• Exposure to at least one cloud platform (Azure / AWS / GCP)
• Understanding of distributed computing concepts
• Experience working in Agile teams

Preferred skill sets

• Experience with Unity Catalog and data governance
• Exposure to Auto Loader or streaming frameworks
• CI/CD for data pipelines
• Python for data engineering and automation

4-7 years

Education

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

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Required Skills

• Snowflake (Platform)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}