Data Ops – Data Builder

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

📋 Description

• Transform architectural designs and business needs into reliable, reusable, production-ready data products via MVP.

• Develop new and unfamiliar data into functional solutions that address business inquiries.

• Convert learning-stage and custom work into durable, reusable, production-grade assets.

• Construct physical Silver structures adhering to the enterprise-agnostic Silver model and Data Architecture reference patterns.

• Execute designs and promote them to production through regulated CI/CD pipelines.

• Gather business context and metadata during the build process and transfer to trusted partner teams.

• Collaborate in the design and creation of democratized Gold data products via MVP.

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

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

• Develop, test, and productionize work through CI/CD while meeting quality, security, and cost assessments.

• Leverage AI and automation to expedite building and testing without compromising governance, security, or quality standards.

• 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 within the Hyderabad Data Operations team and external service partners in a global delivery model.

⛳️ Requirements

• Over 3 years of experience in building production-grade data solutions, showcasing proficiency in analytics engineering or equivalent business-plus-build roles.

• A true balance of business acumen and hands-on engineering expertise.

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

• Knowledge of Snowflake and Teradata alongside a Databricks-first stack.

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

• Familiarity with CI/CD pipelines, automated code evaluation, and controlled production promotions.

• Strong software engineering practices, including version control (Git), code review, and the creation of efficient, reusable code.

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

• Understanding of data governance and cataloging tools such as Collibra.

• Implementation of automated data quality testing and validation in every solution.

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

• Ability to utilize AI and automation to enhance build processes while maintaining quality and governance.

• Experience in complex, regulated environments is preferred.

• Background in healthcare or PBM data is an advantage.

• For remote work, a cable broadband or fiber optic internet connection with a minimum of 10 Mbps download and 5 Mbps upload speed is required.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Medical insurance coverage.

• Vision insurance provided.

• Dental insurance included.

• Access to well-being and behavioral health programs.

• 401(k) retirement plan.

• Company-paid life insurance.

• Tuition reimbursement available.

• A minimum of 18 days of paid time off each year.

• Paid holidays offered.

• Leaves of absence permitted.

• Remote work arrangement available when working from home, subject to internet requirements.