Are you looking for an opportunity to be part of a fast growing and dynamic team? Do you want to broaden and deepen your understanding of key business drivers, challenges, risks and opportunities? Are you passionate about business intelligence and the impact it can have within a large business? If so, this role may be right for you. The Agile BI team (also known as Starlight) is responsible for growing and supporting an end-to-end BI platform at scale. Through this platform, we enable various audiences (from senior executives to field leaders) across many organizations to monitor and manage their business' performance. We are looking for a Sr. Data Engineer who has a proven record of successfully building and supporting BI and data warehouse solutions and platforms to join us in our evolution, taking a leading role in designing, implementing and evolving innovative capabilities tailored to solving complex scenarios. In this role, you will also leverage Microsoft's latest BI and cloud technologies
Build and maintain ETL pipelines and data-driven systems. Design and implement new data pipelines to support Analytics team Ability to lead a team of BI developers to ensure timely, accurate and within scope delivery of all sprint items Work with PM and business stakeholders to understand requirement and translate to technical requirements Build functionality to align to data platform standards and best practices. Analyzing and solving complex business problems, breaking down the work into actionable tasks, and partnering with our PMs to plan and communicate delivery commitments Thought leadership,
BA/BS in finance, operations, computer science, mathematics, statistics, or other technical/quantitative discipline 5+ years of experience working in BI projects including analytics, data warehousing applications Experience managing technical BI/database development resources preferred 5+ years of Microsoft BI experience with T-SQL and SQL development Azure Databricks, Spark and experience with big data technologies will be highly valuable Knowledge of Microsoft data assets/systems preferred Ability to work independently and collaboratively with cross-functional teams Ability to manage multiple