Azure Databricks (Shell)

Job Description :

Design and implement ETL / ELT pipelines using Databricks and PySpark.

Work with Unity Catalog to manage data governance access controls lineage and auditing across data assets.

Develop high-performance SQL queries and optimize Spark jobs.

Collaborate with data scientists analysts and business stakeholders to understand data needs.

Ensure data quality and compliance across all stages of the data lifecycle.

Implement best practices for data security and lineage within the Databricks ecosystem.

Participate in CI / CD version control and testing practices for data pipelines.

Required Skills :

Proven experience with Databricks and Unity Catalog (data permissions lineage audits).

Strong hands-on skills with PySpark and Spark SQL.

Solid experience writing and optimizing complex SQL queries.

Familiarity with Delta Lake data lakehouse architecture and data partitioning.

Experience with cloud platforms like Azure or AWS.

Understanding of data governance RBAC and data security standards.

Preferred Qualifications :

Databricks Certified Data Engineer Associate or Professional.

Experience with tools like Airflow Git Azure Data Factory or dbt.

Exposure to streaming data and real-time processing.

Knowledge of DevOps practices for data engineering.

Employment Type : Full Time

Experience : years

Vacancy : 1