Job Title : Data Engineer
Location : Remote
Duration : 12 months
Job Description
Minimum Position 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 NoSQL applications on Big Data Platforms
Desired Previous Experience/Education:
- 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
Key Responsibilities
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, NoSQL-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
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