Data Ops, Data Builder

Job Description:

  • Build architectural designs and business requirements into production-ready solutions through MVP
  • Quickly work new and unfamiliar data into solutions answering business questions
  • Refactor learning-stage and bespoke work into durable, reusable, production-ready assets
  • Build physical Silver structures according to Data Architecture’s enterprise-agnostic Silver model and reference patterns
  • Implement designs and promote solutions to production through governed CI/CD pipelines
  • Capture business context and metadata at build and hand off to partner teams
  • Build and deliver democratized Gold data solutions through MVP
  • Uphold Gold-layer build standards and guardrails across owning teams
  • Develop, test, and productionize work through CI/CD while clearing quality, security, and cost checks
  • Apply AI and automation to accelerate build and testing without bypassing governance
  • 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 external service partners
  • Deliver trusted, production-grade data assets in a short cycle time

Requirements:

  • 3+ years building production-grade data solutions
  • Demonstrated depth in analytics engineering or equivalent business-plus-build work
  • 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
  • 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 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 tools such as Collibra
  • Automated data-quality testing and validation
  • Ability to learn a new data domain quickly and turn business logic into reusable data products
  • Ability to apply AI and automation while preserving quality and governance
  • Experience in complex, regulated enterprises preferred
  • Healthcare or PBM data a plus
  • Home internet connection through cable broadband or fiber optic service with at least 10Mbps download/5Mbps upload when working at home

Benefits:

  • 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
  • Cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload for home workers
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