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Data Ops Engineer
Actively Reviewing
Ingersoll Rand
Job Description
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.
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.
- 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.
- 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.
- 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.
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