Cloud Data Platform Operations Engineer

• Operate and maintain the data warehouse and data platform infrastructure (currently Azure Synapse, Databricks planned in the future).
• Monitor and troubleshoot data pipelines and ETL processes (Airflow, Azure Data Factory, dbt).
• Maintain and optimize scheduled jobs, DAGs, and cron workflows.
• Operate and monitor database systems (Azure Synapse) for performance and reliability.
• Support CI/CD pipelines (Azure DevOps).
• Manage access control and permissions (RBAC, service principals, secrets, Key Vault).
• Ensure proper logging, alerting, and observability across platform components.
• Perform incident management and root cause analysis.
• Coordinate change and deployment processes with development teams.

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Data Platform and DWH Technologies

• MS SQL / Azure Synapse Analytics (Databricks experience is an advantage).

• Airflow (or similar orchestration tools such as Prefect, Dagster, or Azure Data Factory Pipelines).

Database and SQL

• Strong SQL knowledge (CTE, query tuning).

Cloud and DevOps Environment

• Hands-on experience with Azure Portal.
• Familiarity with Azure DevOps.
• Experience with Linux shell scripting and Python for automation.

Monitoring and Security

• Understanding of logging and alerting concepts (SLI, SLO, SLA).
• Knowledge of RBAC, IAM, Key Vault, and secrets management.

Soft Skills

• Strong sense of operational responsibility and ownership mindset.
• Effective communication with developers, business users, and IT security teams.
• High attention to documentation and process discipline.
• Analytical thinking and troubleshooting mindset.
• Proactive attitude — ability to anticipate issues through monitoring data.
• Proficiency in English for both written and verbal technical communication.

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• Basic knowledge of Docker (Kubernetes experience is a plus).
• Understanding of CI/CD pipeline management.
• Understanding of transformation logic and layered/staging DWH architectures.
• Experience with indexing, query plan analysis, and partitioning.
• Experience with Databricks.
• Familiarity with DataOps / MLOps processes.
• Knowledge of ARM Templates or Terraform.
• Experience with dbt (Data Build Tool) — models, runs, tests, docs, selectors.
• Practical understanding of cloud cost optimization.
• Experience integrating Power BI / Tableau / Looker with data platforms.
• ITIL or experience with Incident & Change Management processes.
• Awareness of audit trails, GDPR compliance, and data governance principles.

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