Senior Data Engineer

Description:

Qualifications
 

• A bachelor's degree in computer science, statistics, data management, information systems, applied mathematics, information science or a related quantitative field [or equivalent work experience] is required.
• 4 years or more of work experience in data management disciplines including data integration, modeling, optimization, data quality and/or other areas directly relevant to data engineering responsibilities and tasks.
• 4 years or more of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
• Strong ability to design, build, and manage data structures and pipelines for encompassing data transformation, data models, schemas, metadata, and workload management. Also ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• Strong experience with various languages and advanced analytics tools such as SQL, Python, PowerBI, Microsoft SSIS/SSAS, Azure Synapse, and others.
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, API design, and development.
• Strong communication and interpersonal skills.