Ready to elevate your career inData & Cloud Engineering ?What do you need to become a SMARTSenior Data Ops Engineer ?
To thrive in this role, you should bring:
Proven experience inDev Ops, Data Ops, SREor platform engineering roles;
Hands-on expertise withMicrosoft Azure, especially data & analytics services (Data Lake, SQL Database, Synapse, Data Factory, Key Vault);
Strong experience administeringDatabricks(clusters, workspaces, job orchestration, performance tuning);
Solid knowledge ofInfrastructure-as-Codetools ( Terraform, ARM templates, Bicep );
Advanced scripting skills inPython, Bash ou Power Shellfor automation and tooling;
Experience building and maintainingCI/CD pipelines(Azure Dev Ops, Git Hub Actions, Jenkins, Git Lab CI);
Good understanding ofnetworking, 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.