Data Engineer
October 16
Description
• Design, develop and enhance Data Warehousing and Analytics applications • Work closely with Business Systems or Business resources to make appropriate technological choices • Play the role of a Data Engineer during Data Lake / Data Warehouse development • Maintain data warehousing platforms and components of MemSQL/SingleStore, Teradata and legacy Oracle Data Marts, Azure Synapse Notebooks/Pipelines • Define and document logical data models, physical data models for reporting or analytics
Requirements
• Bachelor’s degree in a quantitative discipline such as Computer Science or another related field with 5 years of related experience • Related experience should include working knowledge of: Agile/Scrum Methodologies, RDBMS, and ETL • Willing to undertake assignments involving unfamiliar subjects and demonstrate aptitude to learn quickly • Highly motivated and can work independently with a high level of productivity • Excel at communicating complex ideas and concepts both verbally and through writing • Experience with development and tuning on RDBMS technology including Teradata, SingleStore, Oracle or SQL Server • Knowledge and experience in development and tuning of ETL processes using PowerCenter, Informatica Data Replication (IDR), or other comparable tools • Experience in creating, analyzing, and documenting ER and Dimensional models, preferably with ERWIN experience • Preferably have experience in using the Kimball methodology to design and develop Enterprise Data Warehouses and Data Marts • Ability to effectively prioritize and plan activities, multitask and meet deadlines • Willingness and ability to mentor less experienced personnel
Benefits
• Competitive pay plus incentive compensation • Company-sponsored pension plan • 401(k) savings plan with matching employer contribution • Choice of medical, prescription drug, dental, vision, and life insurance programs • Skills development training with tuition reimbursement
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