{"id":3825459,"url":"https://alion.io/job/general-mills-lead-data-engineer","title":"Lead Data Engineer","company":{"id":93250,"name":"General Mills","domain":"generalmills.com","url":"https://alion.io/company/general-mills","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":15,"ghost_share":0,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":37,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T18:18:59Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T07:08:04Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"COMPANY OVERVIEW\nWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.\n\nOVERVIEW\nAs a Lead Data Engineer, you will help shape how connected data drives business action across General Mills by designing scalable, sustainable data solutions and advancing modern data engineering practices.\n\nYou will work closely with data engineers, business analysts, architects, and cross-functional partners to define technical direction, enable strategic initiatives, and bring new data capabilities to life across global teams.\n\nThis is a strong opportunity to influence data strategy, modernize the data engineering ecosystem, and mentor technical talent in a highly collaborative environment.\n\nKEY ACCOUNTABILITIES\nAct as a data and analytics leader with strong technical and domain expertise to guide engineering decisions and delivery outcomes.\n\nLead Project team members to deliver data capabilities\n\nPartner with business analysts and architects to define technical architectures for strategic projects and initiatives.\n\nEvaluate, implement, and deploy emerging data engineering technologies, processes, and practices.\n\nMakes pipeline architecture decisions based on standardized patterns and technologies\n\nLead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.\n\nIndependently troubleshoot technical and performances issues and research root cause analysis in the cloud data ecosystem\n\nActively contributes work to the broader GMI data community and collaborates with others to refine common libraries\n\nMentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.\n\nAssist in hiring & onboarding\n\nMINIMUM QUALIFICATIONS\nEducation: Bachelor’s degree or equivalent practical experience in a relevant field.\n\n12+ years of experience in data engineering, data architecture, or related technology roles.\n\nStrong experience with modern cloud platforms, preferably Google Cloud.\n\nHands-on experience in ETL processes, data warehousing, data quality, data observability, and structured and unstructured data systems.\n\nAbility to work directly with business partners to design solutions and explain architecture trade-offs clearly.\n\nStrong technical skills in SQL, Python, BigQuery, Composer, Dataflow, and dbt.\n\nExperience in Data Modelling, Data Observability, Orchestration, and Prompt Engineering.\n\nFamiliarity with software engineering tools and delivery practices such as Git, GitHub Actions, Jira or Azure DevOps, and Agile ways of working.\n\nStrong problem-solving and analytical skills with attention to detail.\n\nEffective verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders.\n\nCollaborative, adaptable, self-driven, and able to take ownership from project initiation through completion.\n\nPREFERRED QUALIFICATIONS\nStrong hands-on coding skills inPythonandSQL.\n\nExperience developing procedures and scripts fordata loading, transformation, and migration.\n\nFamiliarity withKafkaand distributed computing tools.\n\nBroader experience withcloud technologies, withGoogle Cloudpreferred.\n\nStrong awareness ofAIand its application indata engineering.\n\nELIGIBILITY\nApplicants must meet minimum age qualifications in the country in which the job is located.","description_format":"text","description_chars":3741,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Snack Food","Pet Food, Supplies & Care","Frozen Food","FMCG & Consumer Brand 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