Senior Data Engineer

Summit Human Capital is seeking a highly motivated Senior Data Engineer to support our client in [enter location] in the financial services industry. This position has the exciting opportunity to lead the design and development of robust data solutions, supporting enterprise data warehousing and business intelligence initiatives. The ideal candidate will meet the following criteria: Requirements: • Bachelor's Degree or equivalent work experience • 7+ years of experience in information technology, preferably within financial services or other highly regulated industries • 5+ years of ETL development experience • 3+ years of experience in Business Intelligence, Data Analytics, or Data Science • 3+ years of experience working in an Agile environment • Proficiency in Python for data movement/manipulation • Extensive experience with data dictionaries, data analysis, and relational databases Desired: • Master's Degree in Computer Science, MIS, Analytics, or related technology field • Demonstrable expertise with RDBMS or Big Data technology • Experience with business intelligence toolsets (e.g., Tableau, PowerBI) Responsibilities: • Design and develop complex ETL solutions using data warehouse best practices • Analyze data requirements, models, and determine optimal extraction, transformation, and loading methods • Create business intelligence reports and data visualizations using Python, Tableau, and PowerBI • Validate code against business and architectural requirements; create and test prototypes • Troubleshoot applications, resolve defects, and update product documentation • Collaborate within Agile teams and independently to deliver resilient, scalable technical solutions • Support and occasionally lead business intelligence, data analytics, and data governance/quality efforts