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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Responsible for the documentation, implementation, startup, and technical support of Programmable Logic Controller(PLC) and Human Machine Interface (HMI) programming with an emphasis on SCAD (Supervisory Control and Data Acquisition.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka). Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
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Provide technical guidance on Databricks architecture, best practices, and data management strategies. The ideal candidate will have hands-on experience in migrating from Hadoop to Databricks and SQL to Databricks, with deep expertise in Apache Spark.
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Hands-on production experience with orchestration systems such as Airflow. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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Hands-on production environment experience with distributed processing systems such as Spark. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Additionally, the candidate must have a proven track record in the following areas: Cloud and Data Engineering: Minimum of five (5) years of hands-on experience with Azure Data Factory, Databricks, API management, and managing Azure resources.
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The Onsite Technology Support role ensures that customers receive prompt and efficient technical support of commercial A/V systems. Technical degree or technical customer support work experience.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Provides technical support on the operation and security of the Meter Data Management software product. This includes monitoring the daily operation, maintenance, and enhancement of the Remote Revenue Meters (RRM) to ensure timely and accurate energy accounting data is provided to GSOC customers and OPC on a time certain basis.
$127,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The Customer Service Technician position is responsible for answering incoming calls from end users, service centers, dealers, and original equipment manufacturers (OEMs) and working with service centers to complete repairs by providing instruction, approving/negotiating labor time and rates, and ordering and shipping parts on time, for E-ONE’s various product lines including, but not limited to, Chassis, Body, and Aerial.
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Utilize your expertise in advanced material science and using the following techniques: FTIR (Fourier Transform Infrared Spectroscopy), NMR (Nuclear Magnetic Resonance), Gel Permeation Chromatography (GPC), and thermal analysis to analyze and interpret data (Hands-on.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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