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.

What we're looking for :

- 8+ years of overall experience in Data Engineering or related roles.

- Strong hands-on experience with Azure Databricks, PySpark, and Python.

- Proficiency in SQL for complex data transformations and performance-optimized queries.

- Hands-on experience with Azure Data Factory (ADF) for pipeline orchestration.

- Solid understanding of Azure Cloud, data warehousing, and data modeling.

- Experience implementing CI/CD using Azure DevOps.

- Proven technical leadership experience, including mentoring and code reviews.

Notice Period :

- Immediate joiners or candidates who can join within 15 days.

Note :

- The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.