Software Engineer developing scalable data pipelines and cloud solutions for Cummins' products. Collaborating with teams to ensure data quality and governance in a modern engineering environment.
Responsibilities
Design and build scalable data pipelines that bring together data from multiple systems and sources
Develop and support modern data platforms and cloud-based solutions that power analytics and business insights
Monitor and maintain data quality to ensure reliable, accurate and trusted information across the platform
Help shape data governance practices including access, security and lifecycle management
Optimise and troubleshoot data pipelines and databases to improve performance and efficiency
Work with a collaborative engineering team using modern tools and agile practices to continuously improve the data environment
Requirements
Proven track record in solving complex technical problems
Hands-on experience building and managing cloud-based data platforms, preferably in AWS
Proficiency in Python, SQL, Spark/Java or C# and experience designing scalable data pipelines
Familiarity with data modelling, data warehousing methodologies, and modern tools like DBT, Athena, or Snowflake
Experience with CI/CD processes, infrastructure-as-code tools, or delivering SaaS/industrial data platforms is a plus
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