Data Engineer - Databricks
Job Description
Greetings from TCS!!!
\nTCS is hiring Data Engineer (Databricks with Azure)
\nLocation – Any
\nYears of Experience – 4-15 years
\nJob Description
\nRole - Senior Data Engineer – Databricks
\nRequired Technical Skill Set
\nDatabricks, PySpark, Delta Lake, MLflow, Azure, Data Lakehouse architecture, CI/CD, DataOps
\nJob description-
\n• Data Pipeline Development: Design, build, and optimize scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services for data ingestion and processing.
\n• Data Architecture: Develop and implement scalable data architectures, data warehouses, and data storage solutions (SQL/NoSQL) on Azure.
\n• Data Quality & Security: Ensure data accuracy, consistency, integrity, and security through robust governance and best practice implementation.
\n• Performance Optimization: Monitor, troubleshoot, and optimize data systems and pipelines for optimal performance, efficiency, and cost-effectiveness.
\n• Collaboration: Work closely with data scientists, data analysts, business stakeholders, and solution architects to understand requirements and deliver effective data solutions.
\n• Automation: Implement automated data pipelines and workflows, and contribute to CI/CD (Continuous Integration/Continuous Delivery) using tools like Azure DevOps.