Sr. Software Engineer_Cloud_Devops

SmartRecruiters, Inc.

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

10 days ago
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Job summary

Bosch Global Software Technologies Private Limited in Bengaluru seeks a Data Engineer to own cloud data pipelines, focusing on stability, scalability, and cost efficiency. You will monitor batch workloads, optimize Databricks, and implement robust incident response across a global tech team.

The role requires 3–5 years of hands-on experience with Azure Data Factory, Databricks, and Lakehouse architectures, plus strong scripting and CI/CD skills; automotive domain experience is a plus.

Qualifications

  • Bachelor's or Master's degree in CS/IS/Engineering or related field.
  • 3–5 years of experience in cloud infra and DevOps.
  • Proven data engineer with Azure Data Factory and Databricks.
  • Experience in automotive domain is a plus.
  • Fluent in English.

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.

Skills

Azure Data Factory
Databricks
Lakehouse architecture
CI/CD pipelines
GitHub
IAM
IAC
PowerShell
Batch processing
Monitoring & logging

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure Data Factory
Databricks
PowerShell
GitHub
CI/CD pipelines

Job description

  • Legal Entity: Bosch Global Software Technologies Private Limited
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

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 incloud-based data pipelinesand analytics solutions

Working knowledge ofDatabricksandLakehouse architecturein a cloud environment.

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

Experience withcommand-line scripting(e.g.,PowerShell).

Experience withdata pipeline orchestration tools(e.g. Azure Data Factory)

Understanding of monitoring and logging tools is a plus.

Soft Skills

Excellentproblem-solving and critical thinking skills,with a proactive approach to incident management and root cause analysis.

Strongcommunication and coordination abilities,capable of working effectively across cross-functional and international teams.

High level ofownership,with a strong drive foroperational excellence,efficiency, and continuous improvement.

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.

Languages

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

Additional Information

3-5 years Experience in cloud infra and Devops

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