IN-Sr Associate_Databricks Data Engineer_GCC_Advisory_Bangalore

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Mentorship

Flexible work arrangements

Inclusive benefits

Job summary

PwC is seeking an experienced Data Engineer – Databricks to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. You will work hands-on with Apache Spark, Delta Lake, and cloud-native services while collaborating with analytics, AI/ML, and business teams.

The role requires 7+ years of data engineering experience, strong SQL and Python skills, and a background in agile teams.

Qualifications

• 7+ years of experience as a Data Engineer with Databricks expertise.
• Strong Spark, PySpark, Spark SQL, and Delta Lake knowledge.
• Advanced SQL skills and ETL/ELT pattern experience.
• Cloud exposure (Azure/AWS/GCP) and understanding of distributed computing.

Responsibilities

• Design, build, and operate scalable data pipelines on Databricks Lakehouse.
• Develop notebooks, jobs, and workflows for data processing.
• Ingest, transform, and curate large-scale datasets with quality governance.
• Collaborate with data scientists and analytics teams on AI/ML workloads.
• Ensure security, access control, and production runbook documentation.

Skills

Apache Spark

PySpark

Spark SQL

Delta Lake

Lakehouse architecture

SQL

ETL/ELT patterns

Cloud platforms (Azure/AWS/GCP)

Agile methodologies

Distributed computing concepts

Education

Bachelor's or Master’s degree in CS/Engineering

60% marks threshold

Tools

Databricks

Unity Catalog

Auto Loader

CI/CD for data pipelines

Python for data engineering

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 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

Years of experience required

4-7 years

Education

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

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

Degrees/Field of Study preferred:

Certifications

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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}

Desired Languages

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