Data Ops (CI/CD / Data Quality)

Role Overview: Our client, a global IT services company, is seeking a Data Ops professional with expertise in CI/CD pipelines, data quality, and automation. As a Data Ops specialist, you will be responsible for building and maintaining CI/CD pipelines, implementing cost governance frameworks, developing automated data quality frameworks, and ensuring observability and alerting for pipeline health. Key Responsibilities: - Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI) for data code and infrastructure. - Establish frameworks to monitor and alert on platform spend across Snowflake, Databricks, and AWS. - Develop automated Data Quality frameworks to identify failures early. - Implement observability and alerting for pipeline health and resource utilization. Core Requirements: - Proficiency in CI/CD tooling and version control best practices. - Mastery in scripting with Python or Bash. - Strong passion for automation and streamlining manual processes. Nice to Haves: - Experience in implementing evaluation and monitoring frameworks for AI Agent performance and drift. - Familiarity with Apache Iceberg maintenance to optimize storage costs. Qualification Required: - Education Qualification: Any Graduation - Experience: 7-10 Years (Note: No additional details of the company were provided in the job description) Role Overview: Our client, a global IT services company, is seeking a Data Ops professional with expertise in CI/CD pipelines, data quality, and automation. As a Data Ops specialist, you will be responsible for building and maintaining CI/CD pipelines, implementing cost governance frameworks, developing automated data quality frameworks, and ensuring observability and alerting for pipeline health. Key Responsibilities: - Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI) for data code and infrastructure. - Establish frameworks to monitor and alert on platform spend across Snowflake, Databricks, and AWS. - Develop automated Data Quality frameworks to identify failures early. - Implement observability and alerting for pipeline health and resource utilization. Core Requirements: - Proficiency in CI/CD tooling and version control best practices. - Mastery in scripting with Python or Bash. - Strong passion for automation and streamlining manual processes. Nice to Haves: - Experience in implementing evaluation and monitoring frameworks for AI Agent performance and drift. - Familiarity with Apache Iceberg maintenance to optimize storage costs. Qualification Required: - Education Qualification: Any Graduation - Experience: 7-10 Years (Note: No additional details of the company were provided in the job description)