Data Engineer Mahape- Navi Mumbai

Job Description:

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.
 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.
 Troubleshooting issues, identifying bottlenecks, and optimizing performance of data systems to
meet business needs and performance goals.

KEY RESPONSIBILITIES*

 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.