What will you do:

• Data Architecture Design: Design and implement scalable, reliable, and maintainable data architectures.
• Data Integration: Develop ETL processes to integrate data from various sources into a centralized data warehouse. Ensure data quality and integrity throughout the integration process.
• Database Management: Administer and optimize databases for high performance and availability. Implement security measures to safeguard data against unauthorized access.
• Data Modelling: Create and maintain data models for efficient storage and retrieval of information. Collaborate with data scientists and analysts to translate data needs into effective structures.
• Coding and Scripting: Utilize programming languages (e.g., Python, SQL) for developing and maintaining data pipelines.
• Performance Monitoring

What makes you a great fit:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with expertise in migration strategies.
• Proficiency in Python and SQL; expert in Views/Stored procedures.
• Experience with ETL tools and processes.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Knowledge of defining and running ETL pipelines.

About us:

At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams, coaching, development and opportunities to make a difference. Across our entire organization, you'll find engineers, developers, and technicians who are innovating, designing, testing, and building. You'll also find accountants, marketers, as well as manufacturing, quality and supply chain specialists who are working with technology that's just as innovative and advanced.