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 designs
- Partner 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 pipelines
- Ensure 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 analytics
- Define 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
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