Offer summary

Qualifications:

Extensive knowledge of data principles and practices, Experience with SQL database design and data modeling, Strong analytical and communication skills, Knowledge in data warehousing and cloud technologies.

Key responsibilities:

Drive innovation using new data technologies

Define high-level migration plans for data platforms

Job description

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

Required profile