Data 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 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 Summary

We are seeking a hands-on Data Engineer who loves building reliable data infrastructure from the ground up. In this role, you will take ownership of our data ingestion and transformation pipelines, ensuring high-quality data is available for analytics and reporting.

You will work heavily within Snowflake and dbt, writing robust SQL and Python code to solve complex data challenges. This is a role for a self-starter who is willing to learn new technologies and thrives in an environment where you are responsible for the end-to-end lifecycle of your data products.

Key Responsibilities

Pipeline Development (ELT): Design, build, and maintain scalable data ingestion pipelines from various internal and external sources into Snowflake.

  • Data Transformation (dbt): Architect and develop clean, modular dbt models to transform raw data into analytics-ready datasets. Ensure code quality through testing and documentation.
  • Snowflake Development: Utilize Snowflake features (Streams, Tasks, Snowpark) to automate workflows. Write efficient, high-performance SQL.
  • Python Scripting: Develop Python scripts for custom data ingestion or complex transformations (utilizing Snowpark Python 3.10/3.11 runtimes).
  • Data Quality & Governance: Implement checks to ensure data accuracy, consistency, and timeliness. Troubleshoot pipeline failures and data anomalies proactively.
  • Collaboration: Work closely with analysts and stakeholders to understand data requirements and translate them into technical solutions.
  • Tech Stack Evolution: Actively explore new tools and technologies to improve the efficiency of our lean data stack.

Required Skills & Qualifications

  • Advanced SQL Proficiency: You can write complex, highly optimized SQL queries with ease.
  • dbt Expertise: Proven experience building and managing dbt projects in production environments (modeling, testing, documentation).
  • Snowflake Experience: Strong understanding of Snowflake architecture, data loading, and performance tuning.
  • Python Skills: Proficiency in Python for data processing. Experience with modern Snowflake Python environments (specifically versions 3.10 or 3.11) is highly valued.
  • Data Modeling: Solid understanding of dimensional modeling (Star Schema) and data warehousing best practices.
  • Ownership Mindset: Ability to work independently on a lean team, manage your own backlog, and take responsibility for the success of your pipelines.

 

Preferred Qualifications (Added Advantage)

  • SnowPro Core Certification or SnowPro Advanced Data Engineer Certification.
  • Experience with orchestration tools (e.g., Airflow, Dagster, Prefect).
  • Knowledge of CI/CD practices for data engineering (GitHub Actions, GitLab CI).
  • Experience working with semi-structured data (JSON, XML) within Snowflake.

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.

Job role

Work location
Work locationBangalore, KA, IN, 560 029
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryDBA / Data warehousing
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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