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Tier-1 brand, mid-level generalist data role in a metro with broad skill requirements.
Data engineering skills are transferable across industries but require specific cloud, real-time pipeline, and Snowflake experience.
Multiple mandatory technical skills, explicit 5+ years requirement, cloud and data-platform experience required.
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Design and implement end-to-end near real-time data movement solutions and build large-scale data platforms including data lakes and warehouses (Snowflake preferred).
Develop, deploy, and maintain scalable software with strong focus on data pipelines in Python and cloud environments while ensuring high software quality and best practices.
Mentor junior developers and collaborate with internal and external customers to ensure solutions meet accuracy, integrity, and business needs.
Bachelor’s degree in Computer Science, Electrical Engineering, or related field; Master’s degree acceptable with reduced experience requirement.
5+ years software development experience OR 3+ years with master’s degree, including 5+ years designing and developing Data Pipelines in Python.
At least 2+ years of experience deploying and maintaining software in public clouds such as AWS or Azure; experience with AWS services (Kafka/Kinesis, SQS, SNS, Lambda, etc.) and CI/CD tools required.
Position requires onsite work 5 days a week; relocation available.
Experienced in building robust end-to-end data platforms with both OLTP and OLAP pipelines and strong architectural skills.
Proven ability to lead medium to large-scale projects impacting strategic priorities, with solid computer science fundamentals and test-driven development experience.
Hands-on expertise in Python OOP, big data pipelines, SQL and NoSQL databases, message brokers, AWS or Azure cloud ecosystems, and modern DevOps practices.