Walk-in || Azure Databricks Engineer

Job description

**TCS is Hiring Azure Databrick Engineer.** **Experience: 5+** **Location: Available for Inperson Interview on 11th July at TCS Visakhapatnam Millennium Towers, IT Hill No. 3, Rushikonda.** Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure Databricks. Build and optimize ETL/ELT workflows for batch and streaming data processing. Develop robust data transformations using PySpark, SQL, and Databricks notebooks. Integrate data from multiple sources into Azure Data Lake and other cloud platforms. Work with data engineering and analytics teams to deliver reliable, high-performance data solutions. Optimize Spark jobs and Databricks workloads for performance and cost efficiency. Ensure data quality, governance, and consistency across data pipelines. Collaborate with business and technical stakeholders to understand requirements and deliver solutions. Required Skills: Strong experience with Azure Databricks, Apache Spark, and Delta Lake Proficiency in PySpark, SQL, and notebook-based development Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and related Azure services Strong understanding of ETL/ELT processes and data integration patterns Experience with data modeling, data warehousing, and BI support Knowledge of cloud platforms such as Azure, AWS, or GCP