Sr. Software EngineerCloudDevops

Key responsibilities:

• Ensure the stability scalability and performance of the data pipelines solution.

• Monitor and maintain batch data pipelines in a cloud-based environment.

• Improve operational processes including incident handling performance monitoring and issue resolution.

• Optimize Databricks workloads to improve efficiency and reduce costs.

        Analyze and fine-tune the cloud infrastructure for better cost optimization.

Technical Skills:

• Solid understanding of common issues in cloud-based data pipelines and analytics solutions

• Working knowledge of Databricks and Lakehouse architecture in a cloud environment.

• Working with Batch accounts IAC GitHub IAM and CI/CD pipelines

• Experience with command-line scripting (e.g. PowerShell).

• Experience with data pipeline orchestration tools (e.g. Azure Data Factory)

• Understanding of monitoring and logging tools is a plus.

Soft Skills:

• Excellent problem-solving and critical thinking skills with a proactive approach to incident management and root cause analysis.

• Strong communication and coordination abilities capable of working effectively across cross-functional and international teams.

• High level of ownership with a strong drive for operational excellence efficiency and continuous improvement.

Qualifications :

Education:

• Bachelors or Masters degree in Computer Science Information Systems Engineering or a related field.

Professional Experience:

• Experience in operating and maintaining large-scale cloud data solutions in production environments.

• Proven experience as a Data Engineer with a strong focus on Azure Data factory and Databricks.

• Experience working in an automotive domain is a plus.

Languages:

• Fluent in English (written and spoken); additional languages are a plus.

Additional Information :

3-5 years Experience in cloud infra and Devops

Remote Work :

No

Employment Type :

Full-time