We’re looking for an experienced, motivated hands-on data engineer who brings ideas about handling largescale enterprise applications leveraging data platforms; As a Senior software engineer, you’ll apply your deep expertise in designing, developing, delivering, and supporting a world class software and data platform. You will take full ownership of delivering high-impact big data platform that is robust, scalable and support production-grade applications and services for the supply chain space.  You will leverage open source and cloud storage tools to build and develop reusable components and architecture that can enable the data science teams to provide best in class AI/ML and data analysis environment. 
 You will also help in providing technical direction and develop strategies for long-term platform growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face.
The day today responsibilities include,
 Analyzes and designs reusable components of the data platform and services required to support the data storage, data schema, data orchestration.Design, develop, troubleshoot, and scale the data pipelines required to support the various analytics and AI/ML workloads.Understand application produced artifacts, design the entire pipeline of schema definition, efficient storage and query of various entity objects. Translate complex technical and functional problems into detailed designsPartner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application.Provide senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates Develop high quality unit, tests functional tests and integration tests supporting the data extract, transform, load pipelinesEnsure product quality by participating in design reviews, code reviews and working with the team for end-to-end validation of the entire product Design and develop various data validation strategies ensuring that robust , good quality data is provided to data science teams for model development and advanced analyticsDefine data governance, data auditing policy and strategies for compliance and security controls Write and maintain technical documentation for the various projects. Review product user documentation for technical accuracy and completeness