Data Engineer Iii Jobs

Job Title: Data Engineer III
Duration: Longterm Contract
Location: Remote in CA
Pay Range: $80-$90/hr
Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.

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:

• 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.
• Design, construct, install, test and maintain highly scalable data management systems.

Skills:

• Ability to work as part of a team, as well as work independently or with minimal direction.
• Collaborate with data architects, modelers and IT team members on project goals.
• Excellent written, presentation, and verbal communication skills.

Education/Experience:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• Auditing /compliance experience would helpful

Comments for Suppliers: Python and SQL skills, pipeline center
Operational work, work on granting permissions, on-call duties, data migration, pipeline maintenance
NOT PROJECT MANAGEMENT but operational work- heads down technical work
must-have skills:
Data engineer, data analyst with sufficient technical skills (strong SQL skills, some programming skills)

• Data modeling
• Design, implement, automate and maintain large scale enterprise data ETL processes.
• Ensure systems meet business requirements and industry practices.
• Design, construct, install, test and maintain highly scalable data management systems.

possibly extended beyond 6 months if work is satisfactory.
2 round interview: 1st round- SQL/Data modeling. 2nd round- Python and pipelining.
nice-to-have skills: cloud systems (AWS), APIs, sales/financial/revenue reporting
successful background: Has done data warehousing, built pipelines (code based), big data, 2-3 years industry experience