IN_Manager_Databricks Data Engineer_GCC_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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 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.

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:

7+ 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

Databricks certification (Associate / Professional)

Years of experience required:

7- 12 years

Education qualification:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above)

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

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, Coaching and Feedback, 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 {+ 46 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 23, 2026