Data Engineer

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.