JAR

Data Engineer


We are seeking a talented Data Engineer to join The Jar Team. If you are intellectually curious, if you eat/sleep/drink data and are committed to translating data to insights & insights to actionable work items, want new challenges daily and impact the lives of hundreds of thousands of users, this is the role for you!

Jar is a daily gold savings app that lets users save money by taking spare change from their online transactions and investing it in digital gold automatically. Jar is the first Made in India app to come up with an innovative solution to save money daily and invest automatically in digital gold for the best gold rate. We want to help millions of Indians rediscover the undeniable, cumulative advantages of saving every single day and are backed by a clutch of high-profile investors, including Arkam Ventures, Tribe Capital, WEH Ventures, and angels including Kunal Shah (founder of CRED), Shaan Puri (formerly with Twitch), Ali Moiz (founder of Stonks), Howard Lindzon (founder of Social Leverage), Vivekananda Hallekere (co-founder of Bounce), Alvin Tse (of Xiaomi) and Kunal Khattar (managing partner at AdvantEdge)

🔨 You’ll be responsible for:

  • Ensuring and owning Data integrity across distributed systems
  • Extracting, transforming and loading data from multiple systems for reporting into BI platform
  • Creating Data Sets and Data Models to build intelligence upon
  • Developing and owning various integration tools and data points
  • Development and/or designs within the project in order to maintain timelines
  • Working closely with the Project Manager to deliver on business requirements OTIF (ontime in full)
  • Understands the cross-functional business data points thoroughly and be SPOC for all data related queries
  • Working with both Web Analytics and Backend Data analytics
  • Supporting the rest of the BI team in generating reports and analysis
  • Quickly learning and using Bespoke & third party SaaS reporting tools with little documentation
  • Assisting in presenting demos and preparing materials for Leadership

📜 What We Need

  • 3+ years of experience in Data Modeling & Data warehousing.
  • 3+ years of experience Developing/Designing reporting tools for enterprise companies
  • Portfolio of Business intelligence/KPI/Reporting that were deployed in which the candidate was a key player
  • Demonstrated ability to Design and Develop robust, scalable systems for large scale use
  • Experience in Product Analytics tools such as Amplitude/ Clevertap would be an added advantage.
  • Prior experience in creating Data Warehouse
  • Experience with Python Data Analysis Packages(Pandas, NumPy, Scikit-Learn) is a must
  • Experience with Google Suite (Google Analytics, Google Tag Manager, Google Optimize, etc.)
  • Deep understanding of database management, SQL and NoSQL
  • Fintech or B2C domain experience would be an added advantage
  • A desire to work in a fast-paced environment
  • Experience working in an Agile environment
  • Experience working with multi-tiered, distributed systems
  • Proactive communication