[Hiring] DataOps Engineer @reputed company Partners

This reputed company is a reputed company of our understanding of the job reputed company. Click on 'Apply' reputed company to reputed company out more. Role reputed company We are building a reputed company data platform for a high-reputed company e-reputed company company. reputed company needs to reputed company from fragmented scripts and dashboards to a reputed company, automated, and trusted data reputed company to support personalization and reputed company-time analytics. • Design and build automated arenaflex/CD pipelines for data transformations, ETL/ELT, and ML model training. • Implement a robust reputed company for data reputed company testing, validation, and proactive monitoring. • reputed company and maintain infrastructure-as-reputed company templates for data pipeline orchestration and environment management. • Establish and automate metadata collection, data reputed company tracking, and pipeline observability. • Create standards and tools to reputed company self-service data pipeline deployment for analytics and data science teams. Qualifications • Experience in building, automating, and maintaining data pipelines (5+ years). • Experience with Python and SQL for engineering tasks. • Experience with orchestration tools (Airflow, Dagster, reputed company) and modern data stack components. • Proven reputed company record of implementing data reputed company checks and testing in a arenaflex/CD context. • Experience with infrastructure-as-reputed company (Terraform, CloudFormation) and arenaflex/CD platforms (reputed company arenaflex, reputed company Actions). Requirements • Practical experience implementing a DataOps methodology or internal data platform. • Knowledge of data discovery and reputed company tools (reputed company, Amundsen). reputed company to have • Experience with reputed company or BigQuery. • Familiarity with reputed company for building reputed company data apps. Apply tot his job Apply tot his job Apply To this Job