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Teqfocus
Data Ops (CI/CD/Data Quality)Teqfocus • Ahmadābād, IN
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Data Ops (CI/CD/Data Quality)

Data Ops (CI/CD/Data Quality)

Teqfocus • Ahmadābād, IN
4 days ago
Job description
About the role The guardian of reliability and efficiency. You ensure code moves to production without breaking, data is trustworthy, and the platform remains financially sustainable through automated governance. About Teqfocus Teqfocus is a Data and AI company that helps enterprises build and scale the Agentic Enterprise — connecting the data foundation, the intelligence layer, and the applications teams run their businesses on into a single, coherent architecture. As a Salesforce Summit Partner, we work in Healthcare, Life Sciences, Financial Services, Insurance, and Hi-Tech — industries where getting AI right matters and the tolerance for failure is low. Our delivery model is senior-heavy by design. The same team that scopes an engagement ships it to production. There are no junior shadow teams, no sub-contractors brought in when the problem gets hard, and no hand-off to a separate managed services vendor when the project closes. We run an internal innovation practice that builds the reusable patterns, pre-tested architectures, and industry-specific frameworks that give every Teqfocus client a head start — and give every Teqfocus practitioner work that compounds over time. We are a diverse, immigrant-entrepreneurial company. We were built on the conviction that the best outcomes come from people who take genuine ownership of what they build — and are trusted to do so. www.teqfocus.com Key Responsibilities: Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI) for data code and infrastructure. Cost Governance: Build frameworks to monitor and alert on platform spend across Snowflake, Databricks, and AWS. Develop automated Data Quality frameworks to catch failures early. Implement observability and alerting for pipeline health and resource utilization. Must Have: Expertise in CI/CD tooling and version control best practices. Scripting mastery in Python or Bash. Passion for automation and reducing manual /"toil./" Good to Have: AI Agents: Experience implementing evaluation and monitoring frameworks for AI Agent performance and drift. Knowledge of Apache Iceberg maintenance to reduce storage costs. What We Offer Competitive compensation aligned with market standards Remote flexibility depending on project needs Exposure to global clients and enterprise projects Opportunity to contribute to architecture and technical decisions Innovation and learning exposure Dynamic role growth and challenging assignments Flexible work environment Access to internal knowledge-sharing/training sessions The agentic enterprise is not a future state. It is being built right now, on live production systems, for real clients. If you want to be one of the practitioners building it — this is the right place . Apply Now!!!
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Data Ops (CI/CD/Data Quality) • Ahmadābād, IN

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