4021 Supply Chain Data Solutions Engineer jobs in Dallas,TX

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Heavy Equipment Shop Technician (Mechanic)

EquipmentShare

Mckinney, TX 75070

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Must own tools applicable to position
Advanced mechanical aptitude and working knowledge of tools
Extensive knowledge of construction equipment with an advanced understanding of schematics and diagrams
Must be able to move, stand, stoop and bend freely
Must be able to lift up to 50 pounds at times
This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen
Employment is contingent on passing a background check.

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Gen AI Lead

Omni Inclusive

Dallas, TX 75201

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AWSDataEngineer

Keylent

Dallas, TX 75201

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Cloud Engineer (AWS)

Contact Government Services

Dallas, TX 75201

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Manhattan WMOS

United IT

Coppell, TX 75019

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ServiceNow Product Owner

Wipro

Dallas, TX 75201

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SME CA Layer 7

SonSoft

Dallas, TX 75201

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Principal Data Scientist, AI Engineering

American Airlines

Fort Worth, TX 76101

New, Posted 8 hours ago

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Senior Data Engineer

McKesson

Irving, TX 75039

$156,998-$184,400/yr

~ 22 min Onsite

Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering or a related field
Eight (8) years of experience in the job offered or a related field
Four (4) years demonstrated experience in each of the following: SQL: Writing complex queries to debug and fix application related issues; Java: Using programming language for building pipelines and data transformation for the existing application; Python, Scala: Building new and enhancing existing application; MySQL: Writing queries, investigating, and fixing data issues associated with application; ETL/ELT Development: Designing, building, and orchestrating pipelines; Data Modeling: Working with snowflake schema, normalization/denormalization, dimensional modeling; CI/CD: Continuous integration and deployment for automating build, testing and releases using GitHub Actions; Talend: Comprehensive ETL platform for building, transforming, and integrating data pipelines from various sources
Two (2) years demonstrated experience in each of the following: Databricks: Unified analytics platform for large scale data processing, analytics, and machine learning; Azure Data Factory: Orchestration and ETL tool for automating data workflows and integrations across systems; PySpark: Distributed Data Processing framework for transforming and analyzing large datasets in parallel; AWS: Object Storage Service for scalable, cost-effective data storage and retrieval; Azure: Blob Storage for storing data, Logic Apps for sending notifications, Key Vaults for storing secrets, resource groups, IAM and user management

SmartExplore AI is experimental.

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