About Lendingkart :
- Lendingkart is a digital lending platform that facilitates working capital financing for
entrepreneurs and small businesses in India through our network of affiliated lending
partners. We have developed a technology platform powered by machine learning
algorithms which use big data to help its affiliate lenders evaluate borrower’s credit
worthiness. Customers can apply for a loan using the web or mobile applications at their
convenience and receive their sanctioned loans in as less as 3 days anywhere in the
country. - Lendingkart is the only lending company from India to be featured in the Top 50 most
established fintech firms acclaimed in annual ‘Fintech100’ report by KPMG, where they
have uncovered the most innovative Fintech companies globally. - Lendingkart is one of the leading fintech firms in the Indian lending space. It is backed by
top-tier investors – Temasek (through its 100% subsidiary Fullerton Financial Services),
Bertelsmann, Mayfield Fund, India Quotient and Saama Capital to name a few.
What You’ll Do
- Drive best practices and ensure development of high quality solutions/technologies
through advocating for and ensuring standards for common assets and framework
components - Determine the right technology choices (upgrade decisions, hosting decision) to best
delivery business value keeping in mind availability, scalability and reliability of solution.
• Build and manage a team of high caliber engineers and inform on resource allocation
strategy. - Drive resolution of technology roadblocks including code, infrastructure, build and
deployment and accountable by working with business owners for meeting delivery dates - Guide product team(s) as appropriate, manage cross-product technical dependencies
and drive resolutions to conflicts or remove barriers for the product team(s) - Advocate for and ensure standards around technologies, frameworks, design patterns,
processes and guiding values of the domain architecture - Ensure all solutions/technologies adheres to all development & security standards
What You Need to Succeed
- 8 to 13 years of experience
- Must have worked on Data Engineering problems such as creating Data Catalog, Data
Pipelines,Near Realtime Analytics and Visualizations - Exposure to data at least two of the open source or enterprise products such as Apache
Spark,Tableau, Databricks, Snowflakeor more.. - Must have experience in at least two of the programing languages such as Python, Java,
Golang and various analytics libraries
