Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization s data assets.
Job Responsibilities:
" Design, construct, install, test and maintain highly scalable data management systems.
" Ensure systems meet business requirements and industry practices.
" Design, implement, automate and maintain large scale enterprise data ETL processes.
" Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
" Ability to work as part of a team, as well as work independently or with minimal direction.
" Excellent written, presentation, and verbal communication skills.
" Collaborate with data architects, modelers and IT team members on project goals.
" Strong PC skills including knowledge of Microsoft SharePoint.
Education/Experience:
" Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
" Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.