{"id":1578853,"url":"https://alion.io/job/cardinal-health-analyst-data-engineering","title":"Analyst, Data Engineering","company":{"id":1779154,"name":"Cardinal Health","domain":"cardinalhealth.com","url":"https://alion.io/company/cardinalhealth-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-30T18:35:09Z","employer_posted_date":null,"last_verified_at":"2026-09-30T18:35:09Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Analyst, Data Engineering - Platform Engineering\nWhat Data Engineering Contributes to Cardinal Health\nThe Data & Analytics Function oversees the analytics lifecycle to identify, analyze, and present actionable insights that drive business decisions and create competitive advantage. This function manages enterprise data platforms, data access, governance, reporting, business intelligence solutions, and advanced analytics capabilities.\nData Engineering is responsible for building, maintaining, and optimizing scalable data platforms that enable efficient data ingestion, transformation, orchestration, and consumption across the enterprise. As part of the Platform Engineering team, this role focuses on delivering reliable, secure, automated, and scalable data infrastructure supporting business-critical analytics and data products.\nThe ideal candidate will contribute to platform operations, cloud-based data engineering solutions, CI/CD automation, and production support while partnering with cross-functional teams to ensure a stable and high-performing data ecosystem.\nQualifications\n1-3 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.\nBachelor's degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience).\nHands-on experience with Databricks, Apache Spark, and cloud-based data platforms.\nExperience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.\nWorking knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.\nExperience with SQL, Python, PySpark, and data engineering best practices.\nFamiliarity with source control tools such as Git/GitHub.\nBasic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform.\nKnowledge of platform monitoring, observability, incident management, and operational support processes.\nUnderstanding of data governance, security, access management, and platform reliability principles.\nKey Responsibilities\nSupport the design, implementation, and maintenance of enterprise data platform solutions.\nDevelop, deploy, and manage data processing workloads using Databricks and Apache Spark.\nBuild and maintain CI/CD deployment pipelines using Harness and other DevOps tools.\nSupport platform modernization, cloud migration, automation, and continuous improvement initiatives.\nMonitor platform health, performance, and availability and proactively identify opportunities for optimization.\nInvestigate and resolve platform issues, deployment failures, and data pipeline incidents.\nCollaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities.\nEnsure adherence to security, compliance, governance, and operational standards.\nParticipate in production support activities, root cause analysis, and incident resolution processes.\nContribute to documentation, operational runbooks, and knowledge-sharing initiatives.\nWork closely with global teams to deliver highly available and scalable platform services.\nWhat Is Expected of You and Others at This Level\nApplies foundational technical knowledge and engineering best practices to platform and data engineering tasks.\nWorks on projects of moderate scope under guidance from senior engineers and technical leads.\nTroubleshoots and resolves technical issues using established procedures and operational frameworks.\nDemonstrates strong analytical and problem-solving capabilities.\nContinuously develops expertise in Databricks, cloud technologies, DevOps, and platform engineering practices.\nSupports platform reliability, automation, and operational excellence initiatives.\nEffectively collaborates within cross-functional and geographically distributed teams.\nTakes ownership of assigned deliverables and contributes to team success.\nPreferred Technical Skills\nDatabricks (Workflows, Delta Lake, Unity Catalog)\nApache Spark / PySpark\nHarness CI/CD Pipelines\nPython\nSQL\nAzure Data Platform, GCP, or AWS\nGit/GitHub\nTerraform\nMonitoring and Observability Tools\nDevOps & Platform Engineering Practices\nIncident and Production Support Management\nWork Schedule\nThis position is part of a global Data Engineering Platform Operations team and requires participation in a rotational shift model to provide support coverage across multiple regions and time zones.\nCandidates should be comfortable working in the following rotational shifts based on business needs:\nMorning Shift: 6:00 AM - 3:00 PM\nAfternoon Shift: 1:00 PM - 10:00 PM\nEvening Shift: 5:30 PM - 2:30 AM\nAdditional Expectations\nParticipate in rotational production support and platform operations activities.\nMonitor and support Databricks environments, data pipelines, CI/CD deployments, and platform services.\nRespond to platform incidents, service disruptions, deployment failures, and operational requests within defined SLAs.\nCollaborate effectively with globally distributed platforms, engineering, and business teams.\nSupport continuous improvement initiatives focused on automation, reliability, and operational efficiency.\nThis role offers an excellent opportunity to gain hands-on experience with modern data platforms, cloud technologies, Databricks, DevOps practices, and enterprise-scale data engineering operations.\n\nCandidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.\nCardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.","description_format":"text","description_chars":6247,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Health Care","Hospitals & Health Systems"],"lifecycle":[{"event":"open","at":"2026-10-01T12:00:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":34,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/cardinal-health-analyst-data-engineering","json_url":"https://alion.io/job/cardinal-health-analyst-data-engineering.json","meta":{"generated_at":"2026-10-07T01:34:19Z","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","counted_by":"address","units_charged":1,"used_today":2559,"day_limit":5000,"remaining_today":2441,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"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":1779154},"rest":"https://alion.io/mcp/rest/get_company?id=1779154"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcardinal-health-analyst-data-engineering"},{"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%2Fcardinal-health-analyst-data-engineering"},{"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%2Fcardinal-health-analyst-data-engineering"},{"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/cardinal-health-analyst-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcardinal-health-analyst-data-engineering"}]}