Data Engineer

Qualifications

• Extensive knowledge of data principles, patterns, processes, and practices
• Any experience defining evolutionary data solutions and underlying technologies
• Experience with SQL database design, data modeling
• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Demonstrated written and oral communication skills
• Basic understanding of network and data security architecture
• Strong knowledge of industry trends
• Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management
• Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms.
• Experience with SQL and No
  
  SQL applications on Big Data Platforms

• Any experience with operational data science, machine learning or artificial intelligence solutions
• Any experience with data science solutions or platforms
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus

Essential Job Functions:

• Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, No
  
  SQL-based, and Cloud-based data platforms
• Define high-level migration plans to address the gaps between the current and future state
• Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
• Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
• Promote the reuse of data assets, including the management of the data catalog for reference