Key Skills: Pyspark, AWS, Databricks, SQL, Python, Data Modelling, PLSQL, AWS Cloud, AWS-Amazon Web Services, Azure Databricks

Roles and Responsibilities:

- Design, develop, and maintain robust data pipelines using AWS services and Databricks.
- Utilize Python and PySpark for data transformation and processing tasks.
- Implement data modeling and warehousing solutions to support analytics and reporting.
- Write complex SQL queries for data extraction and performance tuning.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Monitor and optimize data workflows and pipelines for efficiency and reliability.
- Ensure data governance and compliance with best practices in data management.




- Stay updated with the latest trends and technologies in data engineering and cloud computing.

Skills Required:

- Must-Have: PySpark, Data Modelling, AWS, Python, SQL, Databricks
- Nice-to-Have: AWS-Amazon Web Services, Azure Databricks, AWS Cloud, PL/SQL
- Additional Skills:
- Data pipeline design and optimization
- Data transformation, processing, and ETL best practices
- Data governance and compliance
- Collaboration with cross-functional teams
- Performance tuning and workflow monitoring
- Staying updated on cloud and data engineering trends

Education: Bachelor's degree in Computer Science, Information Technology, or a related field.

📌 Data Engineering - AWS (Tamil Nadu)
🏢 Careernet
📍 Tamil Nadu