Sr Data Processing Engineer

Description
What You'll Do

• Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources.
• Develop / manage projects to integrate data from various platforms and systems (e.g., on-prem and cloud databases, data lakes, APIs, third-party vendors).
• Partner with cross-functional teams (Data Scientists, Product Managers, Engineers, Aerodynamicists etc.) to translate business requirements into efficient data solutions.
• Manage cross-functional projects that deliver those data solutions
• Ensure the integrity, consistency, and quality of processed data through automated validation and monitoring processes.
• Ensure that all toos and architecture adhere to best practices in software engineering.

Additional Description
What You'll Need (Required Qualifications)

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 10+ years of experience in an engineering industry , specializing in data engineering, data processing, or related fields.
• 5+ years experience in managing data or software development projects
• Proficient in multiple programming languages such as Python, C++. Java.
• Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks.
• Skilled in managing distributed computing management systems, like SLURM, LSF.
• Knowledgeable in both relational and non-relational databases (e.g., SQL, MongoDB).
• Familiarity with cloud platforms (AWS, Azure).
• Excellent interpersonal skills, capable of effectively collaborating with both technical and non-technical stakeholders.
• This job may be eligible for relocation benefits.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Master's degree in Computer Science, Data Science, or a related field
• Experience leading the development and delivery of complex data pipeline projects
• Experience developing data solutions for a motorsports environment
• Proficiency in applying data governance, privacy, and security best practices
• Experience with HPC architecture
• Skilled in developing Live Streaming data pipelines

Hybrid - This role is hybrid, based in the UK but the successful candidate will also spend time at the Charlotte Technical Centre as required (10-25% of the time)
GM WILL PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
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