Job Description :

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.