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Position Summary The Electrical Engineering Specialist will be responsible for all assigned aspects related to the factory maintenance and Electricity and Automation (E&A) strategy and will execute on-shift activities according to factory and corporate standards, specifications, local codes, and regulations.
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The SCADA Engineer (Design) will be provide Engineering level support in the design, development and commissioning of the SOLV Energy SCADA solution and EPC projects. · Host/present hardware verification portion of customer-witnessed SCADA headend Factory Acceptance Test (FAT.
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Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.
$125,000 - $190,600 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You will independently coordinate technical work for projects in line with RDQ, marketing and manufacturing requirements, effectively communicating status and risks, and coordinate projects to determine appropriate packaging specification information using sampling and supplier management and pilot-plant and factory trials in accordance with good manufacturing practice and HACCP requirements.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow. 8+ years of experience in data engineering or systems engineering, with a focus on data systems technologies.
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3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
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Position Overview: As the Lead Data Systems Engineer, you will play a pivotal role in leading our data systems engineering initiatives and driving the design, implementation, and optimization of our data systems infrastructure.
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The resource will be a member of data management team and be responsible for designing and engineering ETL pipelines from corporate systems using a combination of Azure Data Factory, Azure Data Lake and Azure Databricks.
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2 - 4 years of verifiable SCADA engineering experience (experience working within renewable energy including industrial or utility scale PV solar, BESS, or Wind desired). Knowledge of design, installation, and commissioning of SCADA networks using; Fiber Optics, Serial RS-232 / RS-485, and Ethernet TCP/IP.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Proven leadership experience, with a track record of successfully leading data systems engineering teams and delivering complex projects. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
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Join us and lead our efforts in shaping the future of data systems engineering. Documentation and Best Practices: Define and promote best practices for data systems engineering, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.
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Specific tasks include enclosure structural design, thermal, vibration, other environmental considerations, design verification, prototype build and production transition to the factory. Develop mechanical engineering processes and best practices to align with our other Avionics test sites.
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Extensive hands on experience with development of ETL (CDC, SCD) and data integration process using Azure Data Factory, Databricks, Python and Spark. Develop ETL and data integration processes, using a variety of technologies, including Azure Data Factory, Databricks, SQL, Python and Java.
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5+ years of experience in data engineering or systems engineering, with a focus on data systems technologies. Join us and be part of a dynamic team shaping the future of data systems engineering.
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