{"id":2527114,"url":"https://alion.io/job/nutrabay-data-engineer","title":"Data Engineer","company":{"id":1834976,"name":"Nutrabay","domain":"nutrabay.com","url":"https://alion.io/company/nutrabay","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1800000,"max":2200000,"currency":"INR","period":"year","gross":null,"usd_annual":23203},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS Glue","optional":true},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Fivetran","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-07-30T12:10:18Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-15T07:09:39Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":76},"description":"Job Description - Data Engineer\nYou should apply if you have:\n3 years of experience as a Data Engineer, Analytics Engineer, or in a similar data-platform role.\nStrong SQL and Python, with the ability to build, debug, and optimize production data pipelines.\nHands-on experience with a cloud data stack - AWS preferred (S3, Glue, Redshift) - and modern ELT tooling.\nExperience ingesting data from diverse sources (transactional databases, SaaS APIs, file dumps) into a warehouse or lakehouse.\nExposure to transformation frameworks like dbt and orchestration tools (Airflow, Glue, or similar).\nA reliability mindset - you care about data freshness, quality, monitoring, and infrastructure cost.\nThe ability to work independently and own systems end-to-end in a build-from-scratch environment.\nAn AI-first mindset and comfort using AI tools (Copilot, Claude, etc.) to accelerate engineering work.\nYou should not apply if you:\nPrefer working only on well-defined tickets over designing systems from scratch.\nAre uncomfortable owning production pipelines, reliability, or debugging messy real-world data.\nNeed constant direction and struggle with ambiguity or greenfield problems.\nSee data engineering as just \"moving data\" rather than enabling business decisions.\nAre resistant to feedback, learning new tools, or leveraging AI to improve your productivity.\nPrefer babysitting legacy jobs over building scalable, automated, version-controlled pipelines.\nAre uncomfortable with cost and ownership accountability in a fast-paced, high-growth environment.\nDon't enjoy collaborating with analysts and stakeholders to understand what the data is for.\nAre looking for a narrow role rather than one that demands ownership, curiosity, and continuous improvement.\nSkills Required:\nTechnical Skills\nAdvanced SQL (joins, CTEs, window functions, query optimization, aggregations)\nPython for data pipelines and automation\nCloud data platforms - AWS (S3, Glue, Redshift) preferred\nELT/ETL design and orchestration (Airflow, Glue, or similar)\nData lakehouse concepts - S3 / Apache Iceberg (good to have)\ndbt and data modeling (preferred)\nData ingestion from RDBMS, APIs, and file sources; managed connectors like Fivetran (good to have)\nData quality, testing, and freshness/uptime monitoring\nVersion control and CI/CD for data workflows (Git)\nUnderstanding of data warehousing and dimensional modeling\nB usiness & Analytical Skills\nStrong problem-solving and systems thinking\nAbility to translate analytics and business needs into reliable data models and pipelines\nCost-awareness - right-sizing compute and storage\nComfort collaborating across analysts, engineers, and business stakeholders\nExperience working with D2C, E-commerce, Retail, or Consumer business data (preferred)\nWhat will you do?\nBuild and own the ingestion layer - land core sources (RDS, Vinculum, Tally, marketplaces) reliably into our S3-Iceberg Bronze lakehouse.\nStand up and maintain a multi-tool EL stack (AWS Glue for native/file sources, Fivetran for marketplace connectors) plus pipeline orchestration.\nDesign the medallion architecture (bronze / silver / gold) foundation together with the Analytics Engineers.\nEnsure data freshness, reliability, and quality through monitoring and alerting.\nMigrate legacy stored-procedure jobs into version-controlled, tested, maintainable pipelines.\nOptimize infrastructure cost - inventory jobs, close idle compute, and right-size storage.\nPartner with Analytics Engineers and Analysts to make clean, governed data available for modeling and reporting.\nWhat success looks like\nDuring your first six months, you'll:\nHave all critical (P0) sources landing daily in the Bronze lakehouse with defined freshness SLAs.\nStand up the medallion schemas and Redshift↔Iceberg read path, with dbt running from Git on production.\nPut freshness and failure alerting in place across every pipeline you own.\nRetire idle and duplicate jobs, with a documented monthly cost saving.\nDeliver a reliable data foundation that unblocks the entire analytics roadmap.\nWork Experience: 2-3 years\nWorking days: Monday - Friday\nLocation: Golf Course Road, Gurugram, Haryana (Work from Office)\nPerks:\nFriendly atmosphere\nHigh learning & personal growth opportunity\nFlexible Timings\nDiverse work environment\nWhy Nutrabay:\nWe 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 industry.\nWorking 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 issues.\nAbout Nutrabay:\nNutrabay 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 growing.\nWe 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 product.\nFunding:\nWe raised $5 million in a Series A funding.\nNutrabay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.","description_format":"text","description_chars":6347,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Sports Nutrition","Dietary Supplements"],"lifecycle":[{"event":"open","at":"2026-10-14T12:25:02Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.38,"p_room":0.28,"age_days":76,"expected_fill_days":29,"reasons":["conf:2","win:tail","crowd:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":23203,"is_top_pay":false},"html_url":"https://alion.io/job/nutrabay-data-engineer","json_url":"https://alion.io/job/nutrabay-data-engineer.json","meta":{"generated_at":"2026-10-15T10:52:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16648,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1834976},"rest":"https://alion.io/mcp/rest/get_company?id=1834976"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnutrabay-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnutrabay-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnutrabay-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nutrabay-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnutrabay-data-engineer"}]}