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Job Description & How to Apply Below
TCS is hiring Data Engineer (Databricks with Azure)
Location – Any
Years of Experience – 4-15 years
Job Description
Role - Senior Data Engineer – Databricks
Required Technical Skill Set
Databricks, PySpark, Delta Lake, MLflow, Azure, Data Lakehouse architecture, CI/CD, Data Ops
Job description
- • 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.
• Data Architecture:
Develop and implement scalable data architectures, data warehouses, and data storage solutions (SQL/No
SQL) on Azure.
• Data Quality & Security:
Ensure data accuracy, consistency, integrity, and security through robust governance and best practice implementation.
• Performance Optimization:
Monitor, troubleshoot, and optimize data systems and pipelines for optimal performance, efficiency, and cost-effectiveness.
•
Collaboration:
Work closely with data scientists, data analysts, business stakeholders, and solution architects to understand requirements and deliver effective data solutions.
• Automation:
Implement automated data pipelines and workflows, and contribute to CI/CD (Continuous Integration/Continuous Delivery) using tools like Azure Dev Ops.
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