Data Solutions
DataSolutions-DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Solutions - Data Engineer at Data Solutions. Skills: Data Engineering, Machine Learning, Data Warehousing, Data Pipelines. Collect data for machine learning models. Analyze data from databases”
Industry & Context.
Root-cause analysis; Solve complex business issues
What They're Looking For.
Must Have
Four-year or Graduate Degree, Commensurate work experience, Demonstrated competence, 7-10 years of work experience
Nice to Have
Programming Language/s Certification (SQL, Python, or similar)
What You'll Do.
Collect data for machine learning models
Analyze data from databases
Perform data cleansing
Perform data validations
Perform root-cause analysis
Recommend corrective actions
Execute corrective actions
Provide quantitative rationale
Design data solutions
Integrate structured data
Integrate unstructured data
Evaluate project activities
Improve product quality
Mitigate failure risk
Provide domain-specific expertise
Provide data systems leadership
Drive technology integration
Collaborate with project team
Communicate project progress
Resolve project issues
Represent data engineering team
Assist coaching users
Assist training users
Enhance decision-making capability
Maintain data integrity
Use tools to monitor data
Use tools to mass update data
How You'll Work.
Team & Collaboration
Cross-organization projects; Project teams; Cross-functional initiatives
Process & Methodology
Agile Methodology
Full Job Description
Data Solutions - Data Engineer **Description -** **Job Summary** The **Data Solutions - Data Engineer** is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. **Responsibilities** • Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data. • Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. • Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities. • Drives innovation and integration of new technologies into projects and activities in the big data space. • Collaborates and communicates with project team regarding project progress and issue resolution. • Represents the data engineering team for all phases of larger and more-complex development projects. • Assists in the coaching and training of business analytics solution users to enhance business decision-making capability. • Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes. • Builds and manages relationships throughout the organization. • Provides g
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