The Cigna Group
The Cigna Group
The Cigna Group ir globāls veselības aprūpes uzņēmums, kas darbojas ar Cigna Healthcare un Evernorth Health Services starpniecību. Tā darbība apvieno veselības aprūpes pakalpojumus, veselības apdrošināšanu un aptieku pabalstu pārvaldību, lai atbalstītu klientu, uzņēmumu klientu un pacientu veselību un labklājību. Uzņēmums pievēršas arī ētiskai veselības aprūpes un mākslīgā intelekta praksei, veselības vienlīdzībai, atbildīgai vides un sociālajai pārvaldībai, kā arī inovācijām aprūpes nodrošināšanā.

Senior Lead Data Builder, Remote (US)

Build reusable Silver and Gold data products for Cigna healthcare services, using Databricks and governed MVP and CI/CD pipelines. Turn business needs into production-ready data solutions and establish standards across Data Operations.

Apraksts

  • Translate architectural designs and business requirements into production-ready solutions, starting with an MVP.
  • Rapidly incorporate unfamiliar data to answer business questions.
  • Turn experimental and custom work into reliable, reusable production assets.
  • Build physical Silver structures using enterprise-agnostic models and reference patterns.
  • Implement designs accurately and release them through governed CI/CD pipelines.
  • Record business context and metadata during development, then hand solutions to partner teams.
  • Develop Gold solutions through MVP and bring them to production quality, regardless of ownership.
  • Maintain standards and safeguards for federated Gold solutions.
  • Apply shared development patterns, naming conventions, and build standards across data products.
  • Develop, test, and release solutions through CI/CD, meeting quality, security, and cost requirements.
  • Use AI and automation to speed development and testing while maintaining governance.
  • Collaborate with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps, AI Enablement, data science, and business analytics teams.
  • Define design and Data Operations standards for the Hyderabad team and external service partners.

Prasības

  • At least 7 years of experience building production-grade data solutions.
  • Strong analytics engineering expertise or equivalent experience combining business work with solution development.
  • A balanced combination of business fluency and hands-on engineering skills.
  • Practical experience with Databricks, Spark, Unity Catalog, SQL, and Python.
  • Familiarity with Snowflake and Teradata.
  • Expertise in dimensional and medallion (Silver/Gold) modeling within enterprise-agnostic data models.
  • Working knowledge of CI/CD pipelines, automated code evaluation, and controlled production releases.
  • Strong software engineering practices, including Git, code review, and writing efficient, reusable code.
  • Experience tuning performance and optimizing costs for Spark and SQL transformations at scale.
  • Familiarity with data governance and cataloging tools such as Collibra.
  • Experience with automated data quality testing and validation.
  • Ability to quickly learn a new data domain and turn business logic into reusable data products.
  • Ability to use AI and automation while maintaining quality and governance.
  • Experience in complex, regulated enterprises is preferred.
  • Healthcare or pharmacy benefit management (PBM) data experience is a plus.
  • When working from home, access to cable broadband or fiber internet with minimum speeds of 10 Mbps download and 5 Mbps upload.

Priekšrocības

  • Eligible for the annual bonus plan.
  • Medical coverage.
  • Vision coverage.
  • Dental coverage.
  • Well-being and behavioral health programs.
  • 401(k) plan.
  • Company-paid life insurance.
  • Tuition reimbursement.
  • At least 18 days of paid time off per year.
  • Paid holidays.
  • Leaves of absence.
  • Remote work arrangement.
  • Home internet must be cable broadband or fiber with speeds of at least 10 Mbps download and 5 Mbps upload.

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