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Data Engineer (1 Position)
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FI3023
Last updated: December 6, 2025 |Full-time | New
Fastenal India would like to invite ambitious, hard-working individuals to apply for the position of full-time
IT Software Engineer. Applicants should be able to bring new ideas and improvements to business practices, work well both independently and as part of a team, and show respect to co-workers, customers, vendors, and visitors in the workplace while demonstrating Fastenal’s core values of Ambition, Innovation, Integrity, and Teamwork.
About Us
Since 1967 Fastenal has grown from a single store to nearly 3,800locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. This philosophy stems from an entrepreneurial culture that challenges every employee to run their own business, create their own success, and advance to become company leaders. As a growth company with a solid financial position that typically doubles in size every four to five years, we are committed to training, promoting from within, and creating opportunities for our employees. If you have an entrepreneurial spirit and are looking to make your mark as part of an elite growth company, you won't find a better fit than Fastenal.
Business Unit Overview
Working as a full-time IT Software Engineer, you will be part of the Data Engineering Team. You will be responsible for developing pipelines and notebooks to ingest data into Datalake and providing actionable insights to drive business decisions.
Responsibilities
The duties and responsibilities of this position include, but are not limited to:
- Develop, optimize, and maintain data pipelines for batch and real-time processing.
- Design and implement notebooks to ingest data from multiple sources.
- Ensure data quality, integrity, and security across all systems.
- Collaborate with data teams, Application teams, and business teams to deliver reliable datasets.
- Monitor and troubleshoot data workflows for performance and scalability.
- Document data engineering processes, and best practices.
- Stay up to date with the latest advancements in data engineering technologies and tools.
Required Position Qualifications
- Bachelor’s or master’s degree in computer science.
- 3–5 years of hands-on experience in data analysis/ data engineering.
- Proficiency in SQL and relational databases (e.g. Oracle, MSSQL, MySQL).
- Strong programming skills in Python or Java.
- Working knowledge with Big Data technologies (e.g., Hadoop, PySpark).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of data modeling and data warehousing concepts.
- Knowledge of version control systems like Git.
- Strong problem-solving skills and attention to detail.
- Good communication and presentation skills.
Preferred Position Qualifications
- Understanding of CI/CD pipelines for data workflows.
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