Offer summary

Qualifications:

Strong knowledge of data principles, patterns, and practices., Experience with SQL database design and data modeling., Ability to analyze and organize raw data and build data pipelines., Understanding of data security architecture and industry trends..

Key responsibilities:

Develop and optimize data systems and pipelines.

Analyze business needs and interpret data trends.

Lead data migration and technology environment analysis.

Promote data asset reuse and manage data catalog.

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