Senior Data Engineer - Azure Databricks

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.