Data Engineer | Fort Worth, Texas jobs in United States
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TTI, Inc. · 5 hours ago

Data Engineer | Fort Worth, Texas

TTI, Inc. is seeking Data Engineers in Fort Worth, TX to create large scale data engineering systems that enhance business effectiveness and performance. The role involves supporting data architecture for Global Data Science and Business Intelligence, and developing a cutting-edge technical data engineering platform.

ElectronicsManufacturingService IndustryWarehousing
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Responsibilities

Create large scale data engineering systems and capabilities from the ground up that will improve business effectiveness and performance
Support near and long-term data architecture to support Global Data Science and Business Intelligence, and create an industry-leading technical data engineering platform that leverages the best, cutting-edge cloud technologies, and integrates with legacy systems such as mainframes
Leverage knowledge of the electronics distribution industry and value chain to specialize data engineering capabilities for TTI’s global business needs
Support TTI’s business goals by collecting, securing, filtering, transforming, organizing, validating, and projecting internal and external data, to and from business transaction, business intelligence and data science platforms in a consistent, timely, secure, and scalable manner
Capture and organize fine-grained drivers of TTI’s revenue, cost, gross profit, operational efficiency, market share and customer experience in highly scalable, low-latency and easy-to-consume data sets
Create data marts consisting of structured, semi-structured and unstructured data, along with pertinent high-performance data transformation pipelines, for machine learning and operations research applications impacting business/operational decisions globally
Mitigate obsolescence risk through technical research into the latest methods and tools for data engineering
Ensure data consistency, validity, and accuracy by mitigating various risks including, but not limited to, duplication, missing values, and outliers in data
Build a high degree of confidence in the quality of data. Create alerts and data quality reports to inform stakeholder, in a timely manner, of anomalies and aberrations in data based on statistical distributions of nominal, interval and ratio metrics across multiple categorical and temporal dimensions
Create and maintain effective documentation and reports pertinent to TTI’s data engineering capabilities and best practices
Comply with and implement best practices, methods, standards, and procedures related to data engineering
Collaborate with internal and external stakeholders across diverse, global functional teams and ensure compatibility and integration of data engineering capabilities with existing and future IT systems
Prepare high-level and detail-level project plans and ensure that each project objective is being completed within the agreed upon deadlines

Qualification

Data EngineeringCloud platformsSQLPython programmingData ArchitectureEnterprise grade ETL toolsDatabase designNo-SQL databasesColumnar databasesDatabase internalsDatabase query optimizationOrganizing Five V's data

Required

Master's Degree in Computer Engineering, Computer Science, Data Science, Business Analytics, or related field (or its equivalent)
Solving large-scale data engineering problems
Building large scale data engineering capabilities in diverse big-data environments
Data Engineering
Enterprise grade ETL tools
Cloud platforms (Microsoft Azure)
Data Architecture
Database design
SQL
Stored procedures
Python programming
No-SQL databases
Columnar databases
Database internals
Database query optimization and other related methods, tools, and techniques
Organizing High & Low Velocity, Volume, Variety, Veracity and Value (the “Five V's”) data across cold, warm, and hot storage
Creating solutions in collaboration with Data Scientists and Business Intelligence professionals

Company

TTI, Inc.

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Headquartered in Fort Worth, Texas, TTI, Inc., a Berkshire Hathaway company, is a specialty distributor of passive, interconnect and discrete components.