Data Engineer, Data Services

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Requirements:

• BS or MS in a technical field: computer science, engineering or similar.
• 5+ years technical experience working with data.
• 5+ strong experience building scalable data services and applications using either SQL, Python, Java / Kotlin.
• Deep understanding of microservices architecture and RESTful API development including gRPC, REST/SOAP, GraphQL.
• Experience with AWS services including Messaging such as SQS, SNS, and familiarity with real-time data processing frameworks.
• Significant experience building and deploying data-related infrastructure, robust data pipelines, and ETL/ELT code.
• Strong understanding of data architecture and related problems.
• Experience working on complex problems and distributed systems where scalability and performance are important.
• Strong communication and interpersonal skills.
• Independent work and effective collaboration with cross-functional teams.

Responsibilities:

• Improve and maintain the data services platform.
• Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs for data sharing across multiple products.
• Develop effective architectures and produce key code components that contribute to the design, implementation, and maintenance of technical solutions.
• Integrate a diverse network of third-party tools into a cohesive, scalable platform, optimizing code for enhanced scalability, performance, and readability.
• Continuously improve system performance and reliability by diagnosing and resolving unexpected operational issues.
• Ensure the team's work undergoes rigorous testing through repeatable, automated methods.
• Support the data infrastructure and the rest of the data team in designing, implementing, and deploying scalable, fault-tolerant pipelines.