Data Operations Engineer

Ingersoll-Rand India Ltd
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 2 yearsMin. 2 years

Job Description

Data Ops Engineer

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Job Title 

Data Ops Engineer

Location  

Bangalore

About Us

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Job & Division Summary: 

The IT Applications Developer will support the Ingersoll Rand Enterprise PLM program and associated projects. The goal of this initiative is to deploy PTC Windchill globally, leveraging advanced technologies and tools to drive profitable growth across the company.

This role will contribute to the definition, development, and implementation of best practices for deploying and maintaining various modules of PTC Windchill, along with related engineering applications such as ArborText, and IsoDraw. The successful candidate will collaborate closely with the Enterprise PLM team, champions in each Strategic Business Unit (SBU), and IT delivery teams to deliver sustainable, high-quality solutions

Responsibilities

  • Pipeline Monitoring & Observability: Monitor daily data pipelines (ELT/ETL) and dbt jobs to ensure successful completion. Proactively identify delays or failures before they impact stakeholders.
  • Incident Response (Break/Fix): Serve as the first line of defense for pipeline failures. Troubleshoot errors in SQL, Python, or ingestion tools, and implement fixes to restore service.
  • Data Ingestion Management: Oversee the routine ingestion of data from various sources. Verify data arrival and validate row counts/quality metrics.
  • Ticketing & User Support: Manage the data support queue (e.g., Jira, ServiceNow). Assist users with access requests, query issues, and data discrepancies.
  • Automation: Write scripts (using Python) to automate repetitive maintenance tasks, alerting, and data validation checks.
  • Deployment (CI/CD): Assist in the deployment of code changes (SQL/dbt models) to production, ensuring smooth releases and quick rollbacks if necessary.
  • Root Cause Analysis: Document incidents and perform root cause analysis to prevent recurring issues.

Mandatory Skills and Qualifications

  • Operational Experience: Experience in a DataOps, Site Reliability Engineering (SRE), or Production Support role.
  • Strong SQL Knowledge: Ability to write and debug SQL queries to diagnose data issues and verify fixes.
  • Scripting Skills: Proficiency in Python for automation and scripting. (Experience with Python 3.10 or 3.11 is preferred).
  • Troubleshooting Mindset: Excellent analytical skills to trace errors through logs, code, and data lineage.
  • Snowflake Familiarity: Understanding of Snowflake virtual warehouses, history tables, and query profiles.
  • Communication: Ability to communicate clearly with technical teams and business users regarding ticket status and outages.
  • Agility: Comfortable working on a lean team where priorities can shift, and willingness to learn new observability tools.

Preferred Qualifications (Added Advantage)

  • SnowPro Core Certification.
  • Experience with dbt (specifically running and debugging models).
  • Familiarity with data observability tools (e.g., Monte Carlo, Datadog, or custom alerting).
  • Experience with version control (Git) and CI/CD pipelines.

 

What we Offer

  • We are all owners of the company! Stock options (Employee Ownership Program) that align your interests with the company's success.   
  • Yearly performance-based bonus, rewarding your hard work and dedication.   
  • Leave Encashments  
  • Maternity/Paternity Leaves 
  • Employee Health covered under Medical, Group Term Life & Accident Insurance 
  • Employee Assistance Program  
  • Employee development with LinkedIn Learning  
  • Employee recognition via Awardco  
  • Collaborative, multicultural work environment with a team of dedicated professionals, fostering innovation and teamwork.

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.

Experience Level

Mid Level

Job role

Work location
Work locationBangalore, KA, IN, 560 029
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 2 years

About company

Name
NameIngersoll-Rand India Ltd
Job posted by Ingersoll-Rand India Ltd

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