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About us:

Cashfree is a leading payments and API banking solutions company. We provide full-stack payments solutions enabling businesses in India to collect payments and make payouts via all available methods with a simple integration. Cashfree’s offerings include an advanced and easy way to integrate payment gateway, a split payment solution for marketplaces, bank account verification API and Auto Collect -- a virtual account solution to match inbound payments to customers.

Cashfree is currently used by over 100,000 businesses for vendor payouts, wage payouts, build refunds, expense reimbursements, loyalty, and rewards. Some of its notable customers include Dunzo, Xiaomi, Tencent, Delhivery, Zomato, Cred, Club Factory, and ExxonMobil.

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Your Opportunity:

  • You will build data processing pipelines and tools to support a vast variety of analytics, ML, reporting and audit use-cases
  • You will continuously evaluate relevant technologies, influence and drive architecture and design discussions
  • You will work in a cross-functional team and collaborate with peers during the entire SDLC
  • You will automate manual processes, optimize data-delivery and build the infrastructure required for optimal extraction, transformation and loading of data required for a wide variety of use-cases using distributed data processing technologies like Presto, Spark etc
  • Identifying the areas where recurring/manual work is happening and build some programmatic solution for it
  • Participate in a culture of continuous improvement and optimisation of our query systems and dashboarding
  • Building processes to make sure proper quality checks are there in all of our dashboards and data products
  • Mentoring and leading the group of data engineers
  • Take initiatives in developing and maintaining integrations of best practices within the data engineering department

Required skills/experience:

  • 6-9 years of strong experience in working on software development and 4-5 years of it in working as a data engineer
  • BE/B.Tech/BS/MS/PhD in Computer Science or a related field (ideal)
  • Strong logical & analytical concepts in databases, storage, schemas, dimensional modeling
  • Experience in Apache Spark, Hadoop, Redshift, Athena
  • Attention to details and strong data orientation
  • Strong understanding of various storage formats and data crunching with distributed data processing frameworks
  • Able to mentor the team and drive some of the data initiatives
  • Strong in building scalable, fault tolerant systems
  • Good to have – Experience of storing, retrieving, querying Data at scale
  • Good to have: Understanding of ecommerce/ online payments business
  • Good to have – Experience with the AWS stack

Who You Are:

  • You are a go getter attitude person and enjoy playing with data
  • You have excellent and effective communication skills
  • Having an in-depth understanding of how distributed systems work
  • You are hands-on and stay up to date with the latest technologies
  • You gain the respect of the team for your analytical depth and influence

What We Offer:

  • Everyone is empowered to make decisions
  • Transparency in communication keeps us aware of where we are heading, and honest feedback helps everyone to grow quickly & in all directions
  • You have hybrid working, flexible timings and a great office space to work in
  • Meal coupons, Uber Credits, Travel allowance & Covid Programs
  • Group Mediclaim and Term Life Insurances
  • 24x7 counselling support and a lot more benefits to support you at the time of need
  • Exciting Reward and Recognition programs
  • Aside all above, you will work with some great peers, colleagues and mentors