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 (India)
🏢 Careernet
📍 India