Data Ops, Data Builder

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

📋 Description

• Design and develop architectural solutions and analyze requirements to create production-ready outputs through MVP.

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

• Convert initial learning and customized projects into durable, reusable, production-ready resources.

• Construct physical Silver structures aligned with the enterprise-agnostic Silver model and Data Architecture reference frameworks.

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

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

• Create and deliver democratized Gold data solutions via MVP and transition them to production quality.

• Maintain build standards and guidelines for stable, production-grade federated Gold data resources.

• Adhere to production standards from the outset.

• Use consistent development methodologies, naming conventions, and build standards across data products.

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

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

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

• Establish design and maintain Data Operations standards across the Hyderabad Data Operations team and external service partners as part of a global delivery model.

⛳️ Requirements

• Over 3 years of experience in creating production-grade data solutions, showcasing depth in analytics engineering or related business-plus-build tasks.

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

• 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 framework.

• Working knowledge of CI/CD pipelines, automated code evaluation, and regulated promotion to production.

• Strong software engineering practices, including version control (Git), code review, 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.

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

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

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

• Experience in complex, regulated enterprises is preferred.

• Experience with healthcare or PBM data is a plus.

• A reliable home internet connection, if working remotely, with a minimum of 10 Mbps download and 5 Mbps upload speed, preferably via cable broadband or fiber optic service.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Medical insurance coverage.

• Vision insurance coverage.

• Dental insurance coverage.

• Access to well-being and behavioral health programs.

• 401(k) retirement plan.

• Company-paid life insurance.

• Tuition reimbursement program.

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

• Paid holidays.

• Leaves of absence available.