Data Ops – Data Builder

🕒 Outubro 20

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $102.400 - $170.600 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⚙️ Operações

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The Cigna Group

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏥 Saúde

🛡️ Seguros

Healthcare • Insurance

O Grupo Cigna é uma empresa global de serviços de saúde que oferece produtos e benefícios de seguro médico, odontológico, farmacêutico, comportamental e suplementar para indivíduos, famílias, empregadores, corretores, prestadores de serviços e beneficiários do Medicare. Oferece planos de grupo patrocinados por empregadores, planos individuais e familiares (incluindo ofertas de Inscrição Aberta), Medicare, seguro de saúde internacional cobrindo mais de 200 países, e serviços digitais para membros através da plataforma myCigna (incluindo telemedicina e gestão de sinistros). Seus produtos são disponibilizados por meio de subsidiárias operacionais como a Cigna Health and Life Insurance Company e outras afiliadas regionais.

Descrição

• Turn architectural designs and business requirements into trusted, reusable, production-grade data products through MVP • Build new and unfamiliar data into working solutions that answer business questions • Refactor learning-stage and bespoke work into durable, reusable, production-ready assets • Build physical Silver structures to the enterprise-agnostic Silver model and Data Architecture reference patterns • Implement designs and promote them to production through governed CI/CD pipelines • Capture business context and metadata during build and hand off to trusted partner teams • Co-design and build democratized Gold data products through MVP • Uphold build standards and guardrails for stable, production-grade Gold solutions • Apply development patterns, naming conventions, and build standards across connected data products • Develop, test, and productionize work through CI/CD while clearing quality, security, and cost checks • Apply AI and automation to accelerate building and testing without bypassing governance, security, or quality expectations • Partner with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps & AI Enablement, data science, and business analytics teams • Set design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners in a global delivery model

🎯 Requisitos

• 3+ years building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work • A genuine 50/50 blend of business fluency and hands-on engineering discipline • Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python • Familiarity with Snowflake and Teradata in addition to a Databricks-first stack • Expert knowledge of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model • Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production • Strong software-engineering discipline, including version control (Git), code review, and efficient, reusable code • Experience performance-tuning and cost-optimizing Spark and SQL transformations at scale • Familiarity with data governance and cataloging tooling such as Collibra • Automated data-quality testing and validation built into every solution • Ability to learn a new data domain quickly and turn business logic into reusable data products • Ability to apply AI and automation to accelerate build while preserving quality and governance • Experience in complex, regulated enterprises preferred • Healthcare or PBM data a plus • For home working, cable broadband or fiber optic internet with at least 10 Mbps download and 5 Mbps upload

🏖️ Benefícios

• Annual bonus plan eligibility • Medical insurance • Vision insurance • Dental insurance • Well-being and behavioral health programs • 401(k) • Company-paid life insurance • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence • Remote work arrangement when working at home, subject to internet requirements

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