Roles & Responsibilities:

- Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration of enterprise-wide data from diverse sources.

- Build and optimize data engineering workflows using Databricks and PySpark.

- Write efficient, high-performance SQL for data transformation and analysis.

- Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing, data models, and pipelines.

- Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the development lifecycle.

- Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production environments with proper change control processes.

- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

- Ensure data quality, reliability, and performance across all pipelines and platforms.

Required Skills and Qualifications:

- 8+ years of overall experience, with strong hands-on experience in Databricks.

- Strong proficiency in PySpark coding.

- Strong hands-on experience in SQL.

- Proficiency in programming languages such as PySpark and Python.

- Experience with Azure Cloud platform and associated services.

- Solid understanding of data warehouse concepts, data modeling, and pipeline design.

- Proven experience providing technical leadership and mentoring developers.

- Hands-on experience with CI/CD implementation using Azure DevOps.

- Strong problem-solving, communication, and stakeholder management skills.