The Rapid and Rural Logistics (R2L) org is seeking an exemplary Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

This role is on a large analytical team that supports a wide range of businesses including sub same day, Rural , ROAR delivery etc. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.



Key job responsibilities
Main responsibilities of this role include but are not limited to:

- Perform data extraction, manipulation and production from database tables
- Manage and grow a database infrastructure
- Develop automation solutions through programming languages
- Support analytical researches and provide recommendations to business challenges
- Use best practices for data modeling, ETL/ELT procedures, SQL, Redshift, and OLAP technologies to implement data structures.
- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall data
- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems. data sources.
- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.
- Generate complete, reusable metadata and dataset documentation.