Kaleidofin - Data Engineer - SQL/Python (3-6 yrs)

Who we are :

Kaleidofin is a fintech focused on the goal to unlock access to tailored finance for women, agriculture and nano entrepreneurs. We provide the ki credit platform, combining credit health assessment (ki score), middleware rails and best-in-class risk management (ki view) to enable the financial ecosystem to better serve customers. By building credit health scores for impactful finance and innovating on debt structures that scale inclusion, Kaleidofin is achieving this goal in India, Bangladesh and East Africa and expanding.

Kaleidofin recently raised USD 13.8 million in a funding round led by Rabo Partnerships, bringing our total capital raised to USD 37 million. This funding fuels our mission to build a digital ecosystem ensuring finance for everyone, everywhere. Over the years, Kaleidofin has been supported by a diverse group of marquee investors, including the Bill & Melinda Gates Foundation, the Michael & Susan Dell Foundation, Oiko Credit, Flourish, Omidyar Network, Blume Ventures, and Bharat Fund, each of whom shares our commitment to financial inclusion and impact.

Kaleidofin has received exceptional international recognition in being featured as one of only six Indian companies on the Forbes 100 To Watch in Asia list and in being selected to present at the United Nations General Assembly Special Task Force Event. The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019 and was recognized as Indias Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI).

Kaleidofin won the Swanari TechSprint 2023, organized by the RBI Innovation Hub, showcasing its product leadership in the financial inclusion space in India. It was a finalist in the India Fintech Forum Awards (IFTA) 2023 for "Best Use of AI in Fintech" as well as a finalist at the prestigious Global SME Finance Awards 2024 hosted by the SME Finance Forum and International Finance Corporation (IFC). Most recently, Kaleidofin is a finalist at the prestigious G20 TechSprint 2024 - Technology for the Planet.

With its focus to harness technology to deliver seamless experiences and data-centric products, Kaleidofin aims to become a leading player in enabling finance for everyone, everywhere. We also invest in culture and team growth, reflective in our selection as a Great Place to Work for multiple years.

You will :

- Build large scale, highly available, fault tolerant data analytics platforms & data pipelines that horizontally scale and can support advanced analytics including modelling and machine learning.

- Work in a fully agile environment by completing deliverables on time with a high amount of quality.

- Design and develop products by collaborating/influencing business and data science teams.

- Independently own components and co-own applications with other developers by reviewing design documents, (peer) reviewing code, providing design direction and guidance.

- Establish strong data engineering best practices and champion their adoption.

Who you need to be?

- 2+ years' experience in software product development and delivery

- Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes)

- All experience should be from good product development or e-commerce background.

- Must have shown good stability in all your previous associations.

- Strong grasp of CS fundamentals like OS, algorithms and excellent problem- solving abilities - Prior experience in building and supporting highly scalable & resilient databases, warehouses, data pipelines etc and co-ordination with data scientists in consumption for analytics.

Skill set Mandatory :

- Have strong data engineering knowledge and cloud development exposure.

- Proficiency in python, SQL, (py)Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog etc. ), Airflow.

- Proficiency in both RDBMS (Mysql preferred) and NoSql datastores.

- Very comfortable with data lakes, warehouses, ETL/ELT paradigms and various latest data engg architectures.

- Worked in an agile development environment.

Optional :

- Basic knowledge of statistical analysis, mathematical modelling and machine learning - Experience with cloud technologies

- Microservices, Docker, Kubernetes, Gradle, Kafka, GIT, unit/integration tests, Grafana, Kibana, Jira, Prometheus, Redis

Job location - Bangalore (work from office-Hybrid)