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This Data Mining and Analysis Lead Engineer role is centered around supporting the Vehicle, Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and Virtual Simulation test teams with robust and accurate scripts, both for automating tests and for analyzing the resulting test data for Autonomous Driving OEM projects.
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A bachelor’s or master’s degree in geology, mining, geological, or civil engineering; an advanced degree in business administration is helpful. Extensive experience in commercial mining engineering software (e.g., Surpac, Vulcan, Carlson, Minesched, and GIS) and proficiency in programming skills (e.g., TCL, Lisp, Visual Basic, and other programming languages) are also preferred.
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Our specialized data centers run computing-intensive applications powered by clean energy for: Cryptocurrency Mining Artificial Intelligence Deep Learning Machine Learning Scientific Computing Natural Language Processing Video Transcoding and more.
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Partner closely with our Software Engineering and DevOps teams to build scalable and repeatable data apps or ML microservices using Cloud Run, Kubernetes, Dagster and/or other tools and services.
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Committed to delivering a Higher Level of Reliability , Acuren provides an unrivaled spectrum of capabilities including inspection, traditional and advanced NDE/NDT, failure analysis, rope access, materials engineering, field engineering, reliability engineering, drones, robotics, V-Deck and condition-based monitoring services.
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As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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The successful candidate will develop and support a wide variety of data engineering pipelines utilizing tools including Azure Databricks, Azure Data Factory, Azure Data Lake Store and Azure Synapse.
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Our work is critical to the integrity and safety of industrial firms, including petroleum refinery, pipeline, power generation, pulp & paper, mining, pharmaceutical, aerospace and automotive industries.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Product Support team located in locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
$132,250 - $192,050 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations.
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As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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Knowledge of data privacy regulations (GDPR, CCPA, CRPA) and the impact these regulations have on data engineering framework. The Sr. Principal Global Data Engineering plays a critical role in the global data organization by leading and shaping our engineering efforts.
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Must possess experience in data warehouse, data engineering/integration, master data management, and reports and dashboards engineering. 7+ years experience in data warehousing, data analytics, data engineering or a similar role.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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We are looking for a Data Engineer to organize and scale our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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data mining engineering jobs Title: data analyst Company: Keylent Inc
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