DataOps Engineer

2 weeks ago

bangalore, India Landmark Group Full time

Job Description- Responsible for the governance ensuring data availability, accuracy, and performance across environments as an expert Azure Data Ops with 6-8 years of experience.- Orchestrate, monitor, and automate data pipelines across Azure Data Factory, Databricks, and Synapse.- Build scalable CI/CD workflows using Azure DevOps for data deployments and version control.- Ensure data pipeline reliability through alerting, auto-restart, and SLA compliance.- Set up proactive alerts and error handling for failed or delayed pipelines.- Drive process standardization and documentation for repeatable and auditable data workflows.- Enable lineage and impact analysis across datasets to improve governance and trust.- Enforce data quality checks (DQ rules, schema validation, completeness) at ingestion and transformation stages.- Collaborate with governance teams to align with cataloging, retention, and compliance standards.- Continuously optimize data processing cost, performance, and resource utilization across environments.Knowledge, Skills & ExperienceRelevant Job Experience-- Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred).-- 3–5 years of experience in data platform operations or DataOps within the Azure ecosystem.Hands-on expertise in:Azure Data Factory, Databricks, Synapse, and Azure DevOps.CI/CD pipeline design for data workflows.Python, SQL, PowerShell scripting for automation.Data governance and observability tools.PreferredFamiliarity with big data frameworks (Spark, Delta Lake).Experience in a retail data environment.Azure certifications: Azure Data Engineer Associate or DevOps Engineer Expert.Required Leadership SkillsThe position will require someone with the following:- Strong analytical and troubleshooting abilities- Communication and Collaboration- Strategic mindset to drive operational maturity and continuous improvement

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