Senior Analytics Data Engineer

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Requirements:

• Experience with Analytics Data Engineering: data modeling, data mart design, data transformations, data governance, data lineage, and data observability.
• Bachelor’s Degree in Computer Science or another related college degree.
• A solid grasp of Analytics Data engineering principles, practices, frameworks, and methodologies.
• 4+ years of experience as an Analytics Engineer, Data Engineer, Data Infrastructure Engineer or Software Engineer.
• Expert SQL, Python, and database programming skills. Ruby, and/or other coding languages are a plus.
• Proven experience with AWS or similar cloud databases, and data management frameworks and tools (i.e., dbt, coalesce, Monte Carlo).
• Experience working with Looker PDTs and LookML is a plus.
• Analytical mindset and excellent communication skills.
• Able to partner with stakeholders across various levels of expertise.

Responsibilities:

• Select and implement transformation and governance platform tools, identifying new technologies and features that will improve our data platforms.
• Design data mart models with business users in mind. Develop data product specifications that enable business, analytics, and engineering teams.
• Collaborate with engineering and analytics on the design, testing, and implementation of efficient data systems.
• Establish observability best practices. Verify data integrity and discrepancies.
• Partner with business, analytics, and engineering teams to direct instrumentation needs and integrate into established data pipelines.
• Develop transformation code and deploy to production following agile best practices.
• Support engineering efforts to optimize database performance and uptime.