Data Engineer

4 weeks ago


Chicago Illinois, United States McDonald's Corporation Full time
Job Description

McDonald’s Global Technology – Customer 360 team is looking to hire a Data Engineer/Site Reliability Engineer (SRE) with a deep understanding of data product lifecycle, standards, and practices. This position is where you’ll play a key role in designing, implementing, and maintaining robust infrastructure. Collaborate with development teams, automate processes, and ensure system reliability through proactive monitoring and incident response. Bring your expertise in scripting, cloud technologies, and containerization to optimize performance and contribute to our commitment to technological excellence.

Responsibilities:

Design, implement, and maintain scalable and reliable infrastructure.

Collaborate with development teams to enhance system architecture for optimal performance and stability.

Implement automation tools for continuous monitoring, testing, and deployment.

Respond to and resolve incidents, ensuring minimal downtime and quick recovery.

Conduct root cause analysis of reliability issues and implement preventive measures.

Optimize system performance and troubleshoot complex issues across the tech stack.

Collaborate on capacity planning and scalability initiatives.

Ensuring data security and compliance with data governance policies and regulations.

Stay updated on industry best practices and emerging technologies in site reliability.

Develops a solid understanding of the technical details of data domains and clearly understands what business problems are being solved.

Designing and developing data pipelines and ETL processes to extract, transform, and load data from various sources into AWS data storage solutions (e.g., S3, Redshift, Glue).

Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing.

Building and optimizing data integration workflows to connect data from different systems and platforms.

Managing data infrastructure on AWS, including capacity planning, cost optimization, and resource allocation.

Ability and flexibility to coordinate and work with teams distributed across time zones. For instance, early morning/late evening hours to coordinate with teams in India.



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