Job Description - Data Engineer
You should apply if you have
- 3 years of experience as a Data Engineer, Analytics Engineer, or in a similar data-platform role
- .Strong SQL and Python, with the ability to build, debug, and optimize production data pipelines
- .Hands-on experience with a cloud data stack — AWS preferred (S3, Glue, Redshift) — and modern ELT tooling
- .Experience ingesting data from diverse sources (transactional databases, SaaS APIs, file dumps) into a warehouse or lakehouse
- .Exposure to transformation frameworks like dbt and orchestration tools (Airflow, Glue, or similar)
- .A reliability mindset — you care about data freshness, quality, monitoring, and infrastructure cost
- .The ability to work independently and own systems end-to-end in a build-from-scratch environment
- .An AI-first mindset and comfort using AI tools (Copilot, Claude, etc.) to accelerate engineering work
.You should not apply if you
- :Prefer working only on well-defined tickets over designing systems from scratch
- .Are uncomfortable owning production pipelines, reliability, or debugging messy real-world data
- .Need constant direction and struggle with ambiguity or greenfield problems
- .See data engineering as just moving data rather than enabling business decisions
- .Are resistant to feedback, learning new tools, or leveraging AI to improve your productivity
- .Prefer babysitting legacy jobs over building scalable, automated, version-controlled pipelines
- .Are uncomfortable with cost and ownership accountability in a fast-paced, high-growth environment
- .Don't enjoy collaborating with analysts and stakeholders to understand what the data is for
- .Are looking for a narrow role rather than one that demands ownership, curiosity, and continuous improvement
.
Skills Require
d:Technical Skil
- lsAdvanced SQL (joins, CTEs, window functions, query optimization, aggregation
- s)Python for data pipelines and automati
- onCloud data platforms — AWS (S3, Glue, Redshift) preferr
- edELT/ETL design and orchestration (Airflow, Glue, or simila
- r)Data lakehouse concepts — S3 / Apache Iceberg (good to hav
- e)dbt and data modeling (preferre
- d)Data ingestion from RDBMS, APIs, and file sources; managed connectors like Fivetran (good to hav
- e)Data quality, testing, and freshness/uptime monitori
- ngVersion control and CI/CD for data workflows (Gi
- t)Understanding of data warehousing and dimensional modeli
ng
Business & Analytical Ski
- llsStrong problem-solving and systems think
- ingAbility to translate analytics and business needs into reliable data models and pipeli
- nesCost-awareness — right-sizing compute and stor
- ageComfort collaborating across analysts, engineers, and business stakehold
- ersExperience working with D2C, E-commerce, Retail, or Consumer business data (preferr
- ed)What will you
- doBuild and own the ingestion layer — land core sources (RDS, Vinculum, Tally, marketplaces) reliably into our S3-Iceberg Bronze lakehou
- se.Stand up and maintain a multi-tool EL stack (AWS Glue for native/file sources, Fivetran for marketplace connectors) plus pipeline orchestrati
- on.Design the medallion architecture (bronze / silver / gold) foundation together with the Analytics Enginee
- rs.Ensure data freshness, reliability, and quality through monitoring and alerti
- ng.Migrate legacy stored-procedure jobs into version-controlled, tested, maintainable pipelin
- es.Optimize infrastructure cost — inventory jobs, close idle compute, and right-size stora
- ge.Partner with Analytics Engineers and Analysts to make clean, governed data available for modeling and reporti
ng.
What success looks
likeDuring your first six months, you
- ll:Have all critical (P0) sources landing daily in the Bronze lakehouse with defined freshness S
- LAs.Stand up the medallion schemas and Redshift↔Iceberg read path, with dbt running from Git on product
- ion.Put freshness and failure alerting in place across every pipeline you
- own.Retire idle and duplicate jobs, with a documented monthly cost sav
- ing.Deliver a reliable data foundation that unblocks the entire analytics road
map.Work Experience: 2–3 y
earsWorking days: Monday - Fr
idayLocation: Golf Course Road, Gurugram, Haryana (Work from Off
ice)
P
- erks:Friendly atmos
- phereHigh learning & personal growth opport
- unityFlexible Ti
- mingsDiverse work enviro
nmentWhy Nutr
abay:We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their life's best work. As a part of the dynamic team at Nutrabay, you will have a chance to learn new things, solve new problems, build your competence and be a part of an innovative marketing-and-tech startup that's revolutionising the health indu
stry.Working with Nutrabay can be fun, and a place of a unique growth opportunity. Here you will learn how to maximise the potential of your available resources. You will get the opportunity to do work that helps you master a variety of transferable skills, or skills that are relevant across roles and departments. You will be feeling appreciated and valued for the work you delivered. We are creating a unique company culture that embodies respect and honesty, which will create more loyal employees than a company that simply shells out cash. We trust our employees and their voice and ask for their opinions on important business is
sues.
About Nut
rabay:Nutrabay is the largest health & nutrition store in India. Our vision is to keep growing, have a sustainable business model, and continue to be the market leader in this segment by launching many innovative products. We are proud to have served over 1 million customers uptill now, and our family is constantly gr
owing.We have built a complex and high-converting eCommerce system, and our monthly traffic has grown to a million. We are looking to build a visionary and agile team to help fuel our growth and contribute towards further advancing the continuously evolving pr
oduct.
F
unding:We raised $5 million in a Series A f
unding.
