Senior Data Engineer (Databricks Platform)

IN-Senior Associate_ Databricks Senior Data Engineer_Data and Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

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.

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 hands-on Databricks Data Engineer with 5–7 years of experience who can design, build, and optimize scalable data pipelines on the Databricks Lakehouse. The ideal candidate is strong in SQL, Python, and PySpark, understands Delta Lake inside out, and is experienced with production-grade ETL/ELT, orchestration, cost/performance optimization, and data governance (e.g., Unity Catalog). 

Candidate should have hands-on knowledge of Azure ADF and ADLS. 

Responsibilities: 

 

You will work on: 

• Build reliable, scalable batch and streaming pipelines using PySpark and Databricks Workflows/Jobs. 

• Implement Delta Lake best practices: schema enforcement/evolution, ACID transactions, time travel, OPTIMIZE/ZORDER, and VACUUM. 

• Develop Delta Live Tables (DLT) or Structured Streaming pipelines with Auto Loader for ingestion. 

• Write robust modular code in Python (packaging, logging, configuration, error handling). 

• Write efficient and scalable SQL queries for data extraction and reporting. 

• Optimize Spark jobs (partitions, joins, bucketing, caching, AQE, broadcast hints, file sizing). 

• Familiarity with SQL Warehouses, Photon, DBR versions, cluster policies, and pools. 

• Workflows/Jobs orchestration: tasks, dependencies, parameters, retries, alerts, schedules. 

• Unity Catalog: permissions, data lineage, audit, external locations, shares; catalog-first design. 

• Ensure idempotent, repayable, and incremental pipelines with proper checkpoints and watermarks. 

• Implement data quality checks (expectations tests in DLT/Great Expectations), unit/integration tests for pipelines. 

• Ensure data quality, integrity, and governance across the pipeline. 

• Work with CI/CD tools to automate deployment and testing of data workflows. 

• Work with stakeholders to define data SLAs, schemas, and interface contracts. 

• Document pipelines, data sets (data dictionary, lineage), and usage guidelines. 

 
 
Primary Skills: 

• Databricks Platform 

• PySpark 

• SQL 

• Data Modelling 

• Python (Scripting, Data Manipulation) 

• Azure – ADF, ADLS 

 

Secondary Skills: 

• CI/CD (Git, Jenkins, Azure DevOps, etc.) 

Mandatory skill sets: 

 

Databricks certified Data Engineer Associate 

Preferred skill sets: 

 

Analytical mindset with strong problem-solving ability 

Years of experience required: 

 

Experience: 5 – 7 Years 

 

Education Qualification:

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

Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, Microsoft Azure Analytics Services

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, 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)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 14, 2026

Experience Level

Senior Level