Azure Data Engineer
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What you'll do
- 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.
What they're looking for
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 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.
- 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)
Nice to have
- Experience working in an automotive domain is a plus.
- Understanding of monitoring and logging tools is a plus.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
Cloud Data EngineerKey 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.Qualifications:Education:Bachelor's or Master's 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.Technical Skills:Solid understanding of common issues in cloud-based data pipelines and analytics solutionsWorking knowledge of Databricks and Lakehouse architecture in a cloud environment.Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelinesExperience 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.
Qualifications
B.E
Additional Information
2 -6 Years
Company
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