Senior Manager - Application

About the role

Designing and implementing scalable, reliable, and efficient data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data from various sources. Collaborating with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality, integrity, and availability.

What you'll do

• Manage the end-to-end implementation of the Data Warehouse/Datalake project, ensuring adherence to timelines, and quality standards
• Working closely with the development team to design and implement appropriate data models, ETL processes, and reporting solutions
• Collaborating with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality, integrity, and availability
• Building and optimizing data warehouses, data lakes, and other storage solutions to support analytics, reporting, and machine learning initiatives
• Developing and maintaining data infrastructure and tools, automating processes, and implementing best practices for data management, governance, and security

What you need

• 8–14 yrs of experience
• SQL
• ETL
• Python
• Data warehousing
• AWS
• Redshift
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Spark
• Kafka
• GCP
• Java
• Machine learning