Description :

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 5 years of professional experience with working knowledge in a Data and Analytics role with a Global organization

- 5 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 strong 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.