Data Solutions

DataSolutions-DataEngineer

$131–131k Spring, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

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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