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🚀 Ready to elevate your career in Data & Cloud Engineering?
🔍 What do you need to become a SMART Senior DataOps Engineer?
To thrive in this role, you should bring:
- Proven experience in DevOps, DataOps, SRE or platform engineering roles;
- Hands-on expertise with Microsoft Azure, especially data & analytics services (Data Lake, SQL Database, Synapse, Data Factory, Key Vault);
- Strong experience administering Databricks (clusters, workspaces, job orchestration, performance tuning);
- Solid knowledge of Infrastructure-as-Code tools (Terraform, ARM templates, Bicep);
- Advanced scripting skills in Python, Bash ou PowerShell for automation and tooling;
- Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, GitLab CI);
- Good understanding of networking, security, IAM, and cloud architecture best practices;
- Experience with monitoring and observability solutions (Azure Monitor, Log Analytics, Prometheus, Grafana);
- Familiarity with data engineering fundamentals, ETL/ELT workflows, Spark/Delta Lake and cloud data architectures;
- A problem-solving mindset, autonomy, and the ability to work in fast-paced and Agile environments.
🌍 Where can you be SMART?
Remote – Portugal
Key Skills
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