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