{"id":3601699,"url":"https://alion.io/job/merck-group-data-engineer","title":"Data Engineer","company":{"id":64563,"name":"Merck Group","domain":"merckgroup.com","url":"https://alion.io/company/merckgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":98,"open_postings":21,"ghost_share":0,"stale_share":0.095,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pre-commit","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Ruff","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Prometheus","optional":true}],"status":"closed","first_seen_at":"2026-11-02T09:28:11Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T13:00:53Z","board_verified":false,"closed_at":"2026-11-03T13:00:53Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Work Your Magic with us!\nReady to explore, break barriers, and discover more? We know you’ve got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.\nYour role:\nData Pipeline & Architecture: Design, build, and deploy scalable data ingestion and transformation workflows.\nSQL & Performance Optimization: Write, tune, and troubleshoot complex SQL queries, stored procedures, views, and Snowflake virtual warehouses for speed and cost efficiency.\n Data Modeling: Design dimensional models, star/snowflake schemas, fact/dimension tables, and Slowly Changing Dimensions (SCD).\n DevOps & CI/CD: Implement version control (Git/GitHub), CI/CD pipelines, state-based deployments, and dbt (data build tool) integrations.\n Security & Governance: Ensure role-based access control (RBAC), data masking, encryption, and compliance best practices are applied.\nPython: Backend service development, REST API integration, retry and error-handling mechanisms, data schema modelling and validation with PydanticSQL and Snowflake: MERGE- and stream-based CDC pipelines, Tasks, stored procedures, Secure Views, Snowpipe and Snowpipe Streaming, Secure Data Sharing, RBAC, role and grant management, and warehouse performance tuning\nTerraform: Infrastructure as code for Snowflake databases, roles, grants, warehouses, and repeatable multi-environment deployments\n\nAWS: Lambda-based event-driven ingestion, Amazon S3 data lake storage, AWS Glue Data Catalog, and IAM-based access controlsPalantir Foundry: Workshop-based GUI development and backend workflow orchestration for data-request, approval, and provisioning processes\nVersion Control and CI Engineering: Git-based development workflows, pre-commit hooks, Ruff-based linting and formatting, pull-request templates, review gates, and structured AI-assisted development workflows\nData Modelling and Interchange Formats: JSON-based configuration and request schemas, and synchronisation of hierarchical and relational data models across systems\n\nPlatform and Domain ExpertiseEnterprise data provisioning: End-to-end ownership of data-request portals using Palantir Foundry Workshop, Foundry workflow orchestration, and Python backend services targeting Snowflake and AWS\nData virtualisation and analytics integration: Output-port configuration, ownership and privilege logic, and hierarchical data-model synchronisation between source systems and downstream platforms\nIndustrial and OT data integration: Event-driven ingestion of Aveva PI process-historian data using Lambda, Snowpipe, and Snowflake, with downstream delivery through Secure Data Shares\nMulti-stage approval workflows: Role-based approval lifecycles involving requesters, data stewards, data owners, engineering teams, and business verifiers\nData access governance: Request and approval workflows, role-based access control, and self-service provisioning for business data owners\nRegulated-environment delivery: Dev-to-QA-to-production promotion workflows supporting validated and regulated, GxP-equivalent system requirements\n\nWho you are:\nExperience: Typically 3 to 5+ years of hands-on experience in data engineering or cloud data warehousing.\nCore Technologies:\n Snowflake Features: Virtual warehouses, clustering, micro-partitions, Time Travel, Streams & Tasks, Snowpipe, Dynamic Tables, and Snowflake Cortex (where applicable).\nProgramming & Scripting: Expert-level SQL and strong Python (Pandas, NumPy).\nTransformation Tools: dbt (models, snapshots, tests, macros, Slim CI).\nCloud & Orchestration: Exposure to AWS, Azure, or GCP, plus tools like Apache Airflow.\nCertifications: Preferred credentials often include SnowPro Core or advanced Snowflake certifications.\nWhat we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!\nApply now and become a part of our diverse team!","description_format":"text","description_chars":4597,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Advanced Materials","Laboratory Equipment","Chemical Manufacturing"],"lifecycle":[{"event":"open","at":"2026-11-02T09:28:11Z"},{"event":"close","at":"2026-11-03T13:00:53Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/merck-group-data-engineer","json_url":"https://alion.io/job/merck-group-data-engineer.json","meta":{"generated_at":"2026-11-03T16:26:57Z","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":22888,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":64563},"rest":"https://alion.io/mcp/rest/get_company?id=64563"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmerck-group-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%2Fmerck-group-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%2Fmerck-group-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/merck-group-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmerck-group-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3601699}},{"tool":"search_jobs","arguments":{"company":"merckgroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3601699},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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