Azure Databricks Developer

Must Have Skills:

5+ years of experience in Apache Spark / PySpark.

5+ years working with Azure Databricks and Azure Data Services (ADLS Gen2, ADF, Synapse).

Strong understanding of data warehousing, ETL, and data lake architectures.

Proficiency in Python and SQL.

Experience with Git, CI/CD tools, and version control practices.

Position Description:

We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment.Perform data migration across environments and platforms.

ؠDesign and implement ETL/ELT pipelines using Azure Databricks and PySpark.

ؠWork with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs).

ؠOptimize Spark jobs for performance and cost-efficiency.

ؠCollaborate with data analysts, architects, and business stakeholders to understand data needs.

ؠDevelop reusable code components and automate workflows using Azure Data Factory (ADF).

ؠImplement data quality checks, logging, and monitoring.

Participate in code reviews and adhere to software engineering best practices