Data Ops – Data Builder

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform architectural designs and business requirements into production-ready solutions via MVP.

• Rapidly convert unfamiliar data into solutions that address business inquiries.

• Refactor early-stage and custom work into durable, reusable, production-ready assets.

• Construct physical Silver structures aligned with the enterprise-agnostic Silver model and reference patterns.

• Implement designs and promote them to production through governed CI/CD pipelines.

• Capture business context and metadata during the build phase and transfer to partner teams.

• Create and deliver democratized Gold data products through MVP.

• Maintain build standards and guardrails for stable, production-grade Gold solutions.

• Adhere to production standards from the outset.

• Utilize development patterns, naming conventions, and build standards across data products.

• Develop, test, and productionize work through CI/CD pipelines while passing quality, security, and cost checks.

• Leverage AI and automation to accelerate the building and testing processes without circumventing governance.

• Collaborate with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps & AI Enablement, data science, and business analytics teams.

• Establish the design and uphold Data Operations standards across the Hyderabad Data Operations team and external service partners.

⛳️ Requirements

• Over 3 years of experience in building production-grade data solutions, showcasing expertise in analytics engineering or comparable business-plus-build work.

• A genuine balance of business acumen and hands-on engineering discipline.

• Practical experience with Databricks, Spark, Unity Catalog, SQL, and Python.

• Familiarity with Snowflake and Teradata.

• Proficient understanding of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model.

• Knowledgeable in CI/CD pipelines, automated code evaluation, and controlled promotion to production.

• Strong software engineering practices, including experience with Git, code reviews, and efficient, reusable code.

• Expertise in 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 integrated into every solution.

• Capability to quickly learn new data domains and convert business logic into reusable data products.

• Ability to employ AI and automation while maintaining quality and governance.

• Experience in complex, regulated enterprises is preferred; familiarity with healthcare or PBM data is a plus.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Comprehensive medical benefits.

• Vision coverage.

• Dental insurance.

• Well-being and behavioral health programs.

• 401(k) plan.

• Company-paid life insurance.

• Tuition reimbursement program.

• Minimum of 18 days of paid time off annually.

• Paid holidays.

• Leaves of absence.

• Requirement for cable broadband or fiber optic internet with at least 10 Mbps download/5 Mbps upload for remote work.