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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 n g 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 do?Build 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 Experi ence: 2–3 y earsWorking d ays: Monday - Fr idayLocat ion: 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.