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Senior Software Engineer (Senior Data Infrastructure Engineer)

NIQ Global Intelligence - Pune, MH, India

Posted Jun 10, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer (Senior Data Infrastructure Engineer) Pune, MH, India Company Description: Job Description: Senior Data Infrastructure Engineer Job Description Manage and optimize Databricks infrastructure, including cluster lifecycle management, job scheduling, Unity Catalog administration, user permissions, and cost monitoring. Manage Airflow clusters deployed on Kubernetes via Helm charts, including upgrades, configuration management, and integration with ArgoCD and Vault. Write and maintain Terraform modules to provision and manage cloud infrastructure in a scalable, reliable, and secure manner. Develop and maintain data pipelines and workflows using Python, PySpark, and dbt to support data processing and analytics use cases. Use GitHub Copilot with custom skills and agents to improve team productivity, automate repetitive development tasks, and accelerate code reviews and documentation. Communicate with stakeholders across the organization to understand their data needs and translate them into infrastructure and pipeline solutions. Collaborate with engineering teams to ensure data quality and consistency across the organization. Review and approve infrastructure and pipeline changes from team members, applying runbooks and automation components. Participate in on-call rotation for data infrastructure and pipeline incidents. You will be expected to take all necessary actions to resolve issues and restore services to a normal state. Review and maintain technical documentation, keeping it up to date with current system state and runbooks. Qualifications: 5+ years of professional software engineering experience. 5+ years of experience with AWS and Kubernetes. 3+ years managing Databricks infrastructure, including cluster management, job scheduling, user management, cost monitoring, and performance optimization. 3+ years of Python development for data

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