Data Ops, Data Builder

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

📋 Description

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

• Rapidly integrate new and unfamiliar data into solutions that address business inquiries.

• Transform learning-stage and custom work into robust, reusable, production-ready assets.

• Construct physical Silver structures in alignment with Data Architecture’s enterprise-agnostic Silver model and reference patterns.

• Execute designs and advance solutions to production through regulated CI/CD pipelines.

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

• Create and deliver democratized Gold data solutions via MVP.

• Maintain Gold-layer build standards and guidelines across responsible teams.

• Develop, test, and productionize work through CI/CD, ensuring compliance with quality, security, and cost assessments.

• Utilize AI and automation to expedite build and testing processes while adhering to governance protocols.

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

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

• Provide reliable, production-grade data assets within a short cycle time.

⛳️ Requirements

• Over 3 years of experience in creating production-grade data solutions.

• Proven expertise in analytics engineering or related business-plus-build activities.

• Authentic 50/50 mix of business acumen and hands-on engineering expertise.

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

• Knowledge of Snowflake and Teradata is beneficial.

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

• Familiarity with CI/CD pipelines, automated code assessment, and controlled production promotion.

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

• Experience in performance tuning and cost optimization of Spark and SQL transformations at scale.

• Familiarity with data governance and cataloging tools, such as Collibra.

• Automated data quality testing and validation experience.

• Ability to quickly learn new data domains and translate business logic into reusable data products.

• Capability to implement AI and automation while maintaining quality and governance.

• Experience in complex, regulated enterprises is preferred.

• Background in healthcare or PBM data is a plus.

• Reliable home internet connection via cable broadband or fiber optic service with a minimum of 10Mbps download and 5Mbps upload speed when working remotely.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Medical insurance coverage.

• Vision insurance options.

• Dental insurance availability.

• Well-being and behavioral health programs.

• 401(k) retirement plan.

• Company-paid life insurance benefits.

• Tuition reimbursement assistance.

• Minimum of 18 days of paid time off annually.

• Paid holidays.

• Leaves of absence provisions.

• Remote work options available.

• Required home internet connection via cable broadband or fiber optic service with at least 10Mbps download and 5Mbps upload for remote employees.