Zepto : Data Engineer

Brief Description of position:

Data Science

Core Areas: Understanding business objectives and defining the problem statements, goals and approach. Leading the team on non-trivial problems in terms of choosing the right frameworks and tech stacks. Managing changing stakeholder requirements/expectations along with pace of the project executions. Ability to communicate with technical and non-technical audiences with ease. 

Experience: 8+ Years

8-10 years of IT experience with 3+ years of Data Architecture experience in Data Lake

Good Experience in Informatica & Snowflake

Our Story

Zepto is a fast-growing startup that delivers groceries in 10 minutes through an optimized network of dark stores that we're building across the country! 

We’re incredibly well-funded and our investors include Y Combinator, Glade Brook, Nexus Venture Partners, and more! We’ve also built out one of the best startup teams in India, with Senior Executives from Uber, Flipkart, Dream11, and institutions like Stanford, INSEAD, IIM, and IIT

Analytics is mission critical to Zepto, serving as the source of truth for the entire organization. You will be working closely with leadership across attempting to answer questions like where to put up our dark stores, forecasting demand across products at a hyperlocal level, designing incentives for last mile, optimizing marketing spends and  margins. If tackling hard problems, challenging conventional wisdom and working in a rapidly evolving environment excites you, we would love for you to join us on our journey.

About the organization:

Client is a new age startup working on Dark Store business model delivering groceries in less than 10 mins with a vision to be the first choice of groceries. Being valued at 570 Mn $ they are aiming to reach their Unicorn status in less than 1yr to be the youngest Unicorn startup of India.  

The data engineering team closely works with the Technology and Analytics team to design, propose and develop solutions keeping the growing scale & business requirements in mind. Looking for a leader who shall own, define and execute the overall data engineering practice vision.


  • Build and mentor a world class team, recognize their strengths, and lead them to take ownership of end-to-end data architecture
  • Design and build best in class architecture for leveraging data, optimize data pipelines in support of descriptive analytics, data science, and ML
  • Develop and implement a global data governance strategy to enable data privacy and security protocols and ensure adherence
  • Stay on top of latest developments in tech stack and propose potential upgrades to existing systems


  • 8+ years of experience in Data Engineering - Designing databases, building data pipelines, and maintaining data governance protocols in cloud platforms
  • A visionary in technical architecture, with experience building and maintaining Data Engineering Products, along with demonstrated ability to take accountability for achieving results
  • Hands-on working experience with Python, ETL pipelines, advanced SQL
  • Strong understanding of AWS Services - Redshift, Lambda, Glue, Athena, security protocols
  • Experience in any Cloud DW Redshift/Snowflake/BigQuery/Synapse
  • Strong data Modeling and database design experience with Redshift or other relational databases
  • Experience working with Agile methodologies, Test Driven Development and implementing CI/CD pipelines using Gitlab and Docker
  • Good understanding of ETL/ELT technology and processes
  • Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs
Minimum Work Experience:
8 years
Maximum Work Experience:
20 years
Minimum CTC (in lakhs per annum):
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
SQL, Python, NoSQL, Machine Learning, Cloud Computing.


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