Manager_Databricks Engineer _GCC_ Advisory

TymblHub; Bengaluru; On-site; INR 1,540,000 - 2,220,000; Full time

Job summary

PricewaterhouseCoopers Service Delivery Center Kolkata in Bengaluru, India, is seeking a Databricks Engineer to design and implement data pipelines and lakehouse architectures. The role demands strong Python, PySpark, and SQL skills, with hands-on Databricks and Delta Lake experience.

You will build and optimize ETL/ELT pipelines, utilize Unity Catalog, DLT, Auto Loader, and related Databricks tools, and ensure high-performance Spark processing.

Qualifications

• Strong hands-on experience in Databricks.
• Strong coding skills in Python, PySpark, and SQL.
• Experience building ETL/ELT pipelines.
• Hands-on experience with Delta Lake.
• Experience with Unity Catalog, Delta Live Tables (DLT), Auto Loader, Databricks Workflows / Lakeflow.
• Knowledge of Structured Streaming.
• Good understanding of Lakehouse architecture.
• Experience on AWS / Azure.
• Strong experience in Spark performance tuning / optimization.
• Good communication skills.

Responsibilities

• Design and build robust data pipelines and data infrastructure on Databricks.
• Develop and optimize ETL/ELT processes and data transformations.
• Implement Delta Lake features and manage Unity Catalog configurations.
• Leverage Delta Live Tables and Databricks Workflows for orchestrations.
• Tune Spark jobs for performance and cost efficiency.
• Collaborate with data scientists and analysts to deliver scalable data solutions.

Skills

Databricks

Python

SQL

Spark

ETL/ELT

Education

B.Tech / M.Tech / MBA / MCA

Tools

Delta Lake

Unity Catalog

Delta Live Tables

Auto Loader

Databricks Workflows

Job description

# Manager\\_Databricks Engineer \\_GCC\\_ AdvisoryPricewaterhouse Coopers Service Delivery Center KolkataPosted on October 8, 2026---Experience2 - 7 yrsSalary (CTC)₹15.4L - ₹22.2LJob LocationBengaluru, IndiaVacancy1DesignationData Engineering ManagerJob TypeNot specified---## Job Description**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 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. **Responsibilities** * Strong hands-on experience in Databricks* Strong coding skills in Python, PySpark, and SQL* Experience building ETL/ELT pipelines* Hands-on experience with Delta Lake* Experience with Unity Catalog, Delta Live Tables (DLT) , Auto Loader, Databricks Workflows / Lakeflow* Knowledge of Structured Streaming* Good understanding of Lakehouse architecture* Experience on AWS / Azure* Strong experience in Spark performance tuning / optimization* Good communication skills **Mandatory Skill Sets** **Preferred Skill Sets** * Experience with Photon* Exposure to Databricks SQL* Exposure to MLflow / Databricks ML* Experience with CI/CD, Git* Knowledge of Airflow / ADF / other orchestration tools* Databricks certification is a plus* Domain experience in healthcare is preferred **Years of Experience** 7-12 **Education** B.Tech / M.Tech / MBA / MCADegrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering **Required Skills** PySpark **Optional Skills** * Accepting Feedback* Active Listening* AWS* Azure* Databricks Unified Data Analytics Platform* Data Engineering* Data Integration* CI/CD* GitDisclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.