Data Engineer Job in Bangalore at OakNorth

OakNorth is the next-generation credit and monitoring platform that provides banks and lending institutions with the insight and foresight needed to create a better borrowing experience for the Missing Middle – the growth business who are the backbones of communities and economies globally but who have been in banking’s blind spot for decades.

The business was founded in 2015 by Rishi Khosla and Joel Perlman, who previously co-founded Copal Amba and grew it to 3,000 employees over 12 years, before selling it to Moody’s (NYSE: MCO) in 2014, returning 125 times capital to seed investors.

Since its inception, OakNorth has secured over $1bn from several investors, including: Clermont Group, Coltrane, EDBI of Singapore, GIC, Indiabulls, NIBC, Toscafund, and SoftBank’s Vision Fund.

The Platform has been deployed at various banks across North America, Europe, and Asia, and in the UK where OakNorth lends off of its own balance sheet via OakNorth Bank. The platform has helped OakNorth Bank become the fastest-growing business in Europe according to the Financial Times FT 1000 (2020), profitably lending over £4bn to date. In terms of the impact this has had on the economy, OakNorth Bank’s loans have directly helped with the creation of 13,000 new homes and 17,000 new jobs in the UK, as well as adding several billion pounds to the economy.

With offices in London, New York, Manchester, Singapore, Hong Kong, Shanghai, Istanbul, Gurgaon and Bangalore, the global team across the OakNorth Holdings group is over 800 people.

Data Engineer

Responsibilities :

  • Using internal tools, codebase, and other technologies, build ETL pipelines to ingest external sources into the data platform.

  • Write web scraping scripts to automate retrieval of data from online sources.

  • Work closely with the data platform team in London o Structure unstructured data in pre-agreed formats to facilitate ingestion.

  • Analyze and interpret acquired data from external data sources and develop validations and a quality control process.

  • Perform due diligence on new sources quickly and identify data questions and concerns o Construct and maintain data dictionaries.

Required :

  • 2-6 years professional experience in a data engineering role.

  • Strong analytical skills o Excellent organizational skills, including attention to precise details.

  • Have a solid knowledge of at least one programming language.

  • Knowledge of Python is a plus o Familiarity with Spark and AWS technologies is a plus.

  • Financial industry experience is a plus.

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