DataOps Engineer

Pune - India

Monthly Salary: Not Disclosed

Posted on: 05-11-2025

Vacancies: 1 Vacancy

Job Summary

What we Expect:

Data Engineering & Pipeline Management

Design manage monitor and maintain data pipelines and ETL processes using PySpark Azure DataBricks SQL Server Studio and Azure Data Factory.
Ensure data flows are reliable scalable and optimized for performance.
Validate data processes through automated testing and monitoring.

Continuous Integration Deployment & Reliability

Perform deployments using CI/CD pipelines in Azure DevOps aligned with team practices.
Ensure continuous availability reliability and scalability of connected systems.
Support performance uptime disaster recovery and capacity growth.

Operational Support & Collaboration

Serve as Level 3 support for digital applications collaborating with Level 2 users to resolve escalated incidents.
Apply high-level technical mitigation and provide initial technical findings helping to identify product gaps and improvements.
Work closely with cross-functional international teams to deliver innovative solutions.
Actively participate in the global DevOps community.

Who we are looking for:

Fluent English (spoken and written) is mandatory.

Over 5 years experience in data engineering or software development with a focus on cloud-based data solutions.

Strong hands-on experience with PySpark Azure DataBricks SQL Server Studio and Azure Data Factory.

Deep understanding of ETL pipelines and data processing workflows.

Experience with large complex and highly scalable systems.

Expertise in automated testing and monitoring of data pipelines.

Strong analytical and problem-solving skills.

Effective communication skills for working with developers product owners testers and designers.

Experience with DevOps tools (Azure DevOps preferred).

Nice to have experience development.

Experience with version control systems (GIT).

Bachelors degree in Computer Engineering or other technical engineering fields related to coding is valued.

Experience with CI/CD pipelines is a plus.

Experience with Agile methodology is a plus.

What we Expect:Data Engineering & Pipeline Management Design manage monitor and maintain data pipelines and ETL processes using PySpark Azure DataBricks SQL Server Studio and Azure Data Factory. Ensure data flows are reliable scalable and optimized for performance. Validate data...