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 PWCAt 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. 
  
  

• Databricks Platform 
  

• PySpark 
  

• SQL 
  

• Data Modelling 
  

• Python (Scripting, Data Manipulation) 
  

• Azure – ADF, ADLS 
  
  

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

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 Engineering

Degrees/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