Data Analyst

• Scope, design, and build scalable, resilient distributed systems
• Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services
• Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions
• Use your technical expertise to shape product definitions and drive towards optimal solutions
• Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Engage in cross-functional collaboration throughout the entire development lifecycle
• Manage data pipelines, ensuring consistent data availability
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

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