Databricks engineer Roles and Responsibilities:

Responsible for data management activities related to the migration of on-prem sources to cloud systems using Databricks architecture and solutions. In this role, you will be responsible for the development and maintenance of data pipelines and analytics solutions in a cloud-based environment.

Desired Candidate Profile:

-Minimum 4 years of professional experience with working knowledge in a Data and Analytics role with a Global organization

-4 to 8 years of experience in working with Databricks tech stacks

-Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption

-Develop and optimize ETL processes using Databricks and related tools like Apache Spark

-Design efficient data processing systems and pipelines using Databricks, APIs, and other cloud services

-Candidate with robust data transformation experience on Unity Catalog, Delta Tables, DLT

-Strong proficiency in writing and optimizing SQL queries and working with databases





-Ability to acquire specialized domain knowledge required to be more effective in all work activities

-BI & Data-warehousing concepts are a must.

-Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on Databricks.

-Ingest and transform data from multiple structured and unstructured sources including cloud storage (Azure Data Lake, AWS S3, etc.).

-Optimize Spark jobs for performance and cost-efficiency on the Databricks platform.

-Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.

-Implement best practices in data engineering, including modular coding, unit testing, and version control (e.g., Git).

-Automate data workflows and schedule jobs using Databricks Workflows or external orchestration tools (e.g., Airflow, Azure Data Factory).

-Ensure data quality, integrity, and governance in all data pipelines.

-Participate in code reviews, performance tuning, and system monitoring.

-Document solutions, processes, and configurations.

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📌 Databricks Engineer (Mumbai)
🏢 PwC India
📍 Mumbai