Senior Azure Data Engineer

Your future duties and responsibilities
Responsible for the development and management of organizational data assets working in a Microsoft Azure cloud data platform leveraging Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Data Factory
Acquire data from primary or secondary data sources, prepare, integrate, and maintain data structures in support of advanced analytics, self-service reporting, and strategic data initiatives
Develop and execute data pipelines, standard or custom queries and/or reports to retrieve data as required
Design and implement new data models and views to meet business requirements
Perform data profiling, data cleansing, aggregations, and normalization to deliver data products that are available for end-user consumption
Ensure that data integration, data movement, and warehouse solutions meet business requirements and service-level agreements
Work with architects to translate requirements into technical specifications
Coordinate data model reviews, architecture approach and solution design discussions
Conduct root cause analysis of business problems; suggest areas for process improvement
Validate data for completeness and accuracy based on guidelines set by project stakeholders or downstream data and analytics systems
Participate in development of data test strategy, developing test plans and the execution of use cases to validate data (e.g., create test data, identify existing data to use for testing, writing test scripts to validate data loads, conversions, views, opening defects, etc.)
Execute and promote data management and data governance strategies and standards
Responsible for communicating planned and unplanned activities to appropriate parties as needed

Required qualifications to be successful in this role
Bachelor's degree in Computer Science, Management Information Systems, or related field is preferred
Minimum of 5-7 years of data warehousing, data lifecycle management, and computer programming experience
Experience in database design and data modeling
Experience with structured query language (SQL)
Strong learning orientation and curiosity; comfortable learning new systems/software applications
Strong analytical thinking skills and problem-solving skills
Solid written and oral communication skills
Knowledge in multiple of the following is preferred: MS Azure: Azure Data Lake Store, Azure Synapse Azure Data Factory/SSIS or related tool
Business visualization tools (e.g., Tableau, Power BI)
Proven experience on projects involving data integration, data warehousing, data cleansing, data mapping, and data conversion activities
Well versed in data management concepts, data lifecycle and methodologies
Excellent analytical, problem-solving, and decision-making skills, leveraging both logic and creativity
Excellent written and oral communication, as well as strong organizational and presentation skills
Exhibit a strong desire to understand the organization, its industry, and its strategies
Possess a solid overall understanding of technology concepts, trends, and capabilities
Demonstrated ability to handle multiple competing priorities in a dynamic environment
Excellent interpersonal skills with the ability to build relationships within and between individuals and cross-functional teams
Understands and demonstrates the company's core values of Communication, Consideration, Cooperation, Accountability, and Innovation
Working knowledge of agile methodology framework is a plus