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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Sep 5, 2026.

Overview
Company
Impact
Profile match
GoSats is a financial technology enterprise specializing in digital asset rewards and consumer loyalty solutions. Headquartered in Bengaluru, India, the company operates a cashback platform and prepaid card ecosystem that enables users to earn Bitcoin and digital gold rewards on everyday spending. By partnering with major retail and e-commerce merchants alongside offering browser extensions and payment infrastructure, the platform allows consumers to passively build digital asset portfolios through routine retail transactions.

DISCLAIMER - AI Generated messages will automatically lead to your profile not being considered. Talk to us like how you would talk if we met over coffee.

GoSats is India's simplest onramp to assets. We help lakhs of Indians convert their everyday spending into Bitcoin and Gold - building long-term wealth through a habit they already have: spending money. Backed by Konvoy , Y Combinator, Accel and others, we recently closed our $5M Series A and are scaling rapidly toward becoming the default wealth-building tool for mainstream India.

About the Role: You will be the architect of data infrastructure at GoSats. You will build the data pipelines, warehouses, and dashboards that every team relies on for decisions. You will partner with product, growth, finance, and ops teams to surface insights. You will own data quality, freshness, and accessibility.

Required Skills:

  • 3+ years as a BI Engineer, Analytics Engineer, or Data Engineer
  • Strong SQL and Python
  • Experience with data warehouses (BigQuery, Snowflake, Redshift)
  • Has built dashboards in Looker, Metabase, Tableau, Mixpanel or PowerBI
  • Comfort with event analytics (Mixpanel, Segment, Firebase)

Bonus:

  • Experience at a fintech or payment company
  • Has built fraud or risk dashboards
  • Familiarity with cohort analysis and retention modeling
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