Senior Data Engineer

Essential Functions/Core Responsibilities Analytical mindset with the ability to structure and process qualitative data and draw insightful conclusions. Problem solver able to take a complex business request and transform it into a clean, simple data solution. Quick learner open to new ideas and technologies, and willing to offer creative solutions. Ownership and prideful in work and brings new ways and ideas to the table. Develop logical data models and processes to transform, cleanse, and normalize raw data into high-quality datasets aligned with our analytical requirements. Develop and maintain comprehensive controls to ensure data quality and completeness. Manage data movement through our infrastructure. Streamline existing data workflows to create a flexible, reliable, and faster process. Develop real-time data transformations and validations. Identify and onboard new data sources. Collaborate with data vendors and internal stakeholders to define requirements and build interfaces. Troubleshoot and resolve issues with data feeds. Candidate Profile 5+ years of experience in data analysis and/or management in an enterprise environment within finance, operations or analytics. Passion for data organization, quality, and reliability. Windows / Linux Pipeline automation MS SQL Server, Oracle, Postgres, Hadoop, Hive, Presto, etc. preferred. Experience developing complex efficient queries, designing and building logical data models, and working with large datasets on a relational database system Experience with at least one language (e.g. Python, C#, Scala, Java). Strong problem-solving skills. Must be an intellectually curious self-starter and motivated to continually learn. Proactive, hardworking team player with excellent communication skills