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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS and ADLS. Strong understanding of data integration technologies, including Spark, Kafka, eventing/streaming, and Azure DataFactory.
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Databricks data engineering (Databricks Professional Data Engineer and/or Spark Developer certification preferred) 2+ years of Databricks data engineering experience (Databricks Professional Data Engineer and/or Spark Developer certification preferred.
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Strong proficiency in data visualization tools (e.g., Tableau, Power BI, and others) Expert in SQL development for both data modeling and ad hoc querying Experience in data modeling and supporting tooling such as dbt or sqlmesh Experience using cloud-native data warehouse solutions such as Snowflake or Databricks Experience managing a team of analysts, with a demonstrated ability to lead and develop talent.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Gather and utilize geologic mapping, drill data, hydrologic information, quality testing results, topography, aerial photography, survey data, sales forecasts, and other mine planning data to design 3-D mine plans and mining/stripping schedules.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Senior Data Privacy and Compliance Analyst - Secret Clearance. The Data Privacy and Compliance Analyst is responsible for assessing business policies, procedures, and operations to ensure the organization meets privacy requirements and government regulations for the protection of sensitive information.
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Predictive Analytics/Data Mining: (e.g., Python, SAS Enterprise Miner) Data Visualization Tools (e.g. QlikView, Tableau, Power Bi) This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Advanced knowledge of Splunk, Tenable Nessus, API's, Excel and Power BI Platform for data analytics. Experience with advanced Excel data manipulation and analysis including pivot tables, light macros, intermediate formulas.
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As a part of Johnson Controls’ Data Center Solutions business unit, Silent-Aire is on the forefront in the creation of new and exciting products to support the data center industry. We are a diverse, upbeat, creative, team-oriented group of technicians, engineers and managers working on a daily basis to develop data center cooling equipment that is changing the face of the data center facility.
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Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
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Keywords: PLC Automation, Project Engineer, Industrial Automation, Systems Integrator, Electrical Engineering, Mechanical Engineering, Computer/Software Engineering, Rockwell Automation, Siemens, VFDs, Motion Control, Manufacturing Information Systems, Industrial Networks, Machine Vision Systems, Data Collection Technologies.
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Data Pipeline Development : Design, develop, and optimize scalable data pipelines using Microsoft SQL Server, Snowflake, and Airflow. Proven experience in building and managing large-scale data pipelines, with specific experience using Microsoft SQL Server, Snowflake, and Airflow being a plus.
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data processor jobs Company: Fresenius in Atlanta, KS, Louisiana
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