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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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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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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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DEPARTMENTAL SPECIFIC DUTIES AND RESPONSIBILITIES:(In addition to the above listed duties and responsibilities, the Manufacturing Supervisor may have departmental specific duties and responsibilities as noted) Die Cast: (Reports to Plant Manager) Initiates changes in casting cycle times, lubrication of dies, preheating of dies, and/or process parameters to ensure the quality of the castings produced.
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GENERAL SUMMARY: As a Manufacturing Supervisor or Manager - Zinc Die Casting will oversees all operations within their respective department including but not limited to quality of production, managing employees, maintaining safety regulations, and monitoring daily production standards by performing the following duties.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Works at the clinic site in collaboration with the Cancer Care Leadership to ensure high quality and safe interpretation, delivery, operation, and monitoring of radiation safety policies, procedures, standards, and equipment for Radiation Oncology Services.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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You'll also spearhead initiatives to enhance data quality, consistency, and privacy protection, mitigating risks and maximizing the value of our data assets. Proficiency in Cloud-based data warehousing platforms such as Redshift and Snowflake, along with expertise in data modeling, mining, and segmentation techniques.
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Combining a friendly, small-town feeling with an atmosphere of residential, commercial, and industrial development, the community is known for the quality of its schools and medical care, and is home to the Six Flags Over Georgia amusement park.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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Has the ability and desire to approach technical education as a life-long process to stay current in the field including PLC Programming, Power and Controls Systems, Laser Measurement Technology, Industrial Computing, and Data Analysis while maintaining related certifications and credentials and exhibiting a high level of job performance.
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Works directly with the Banner Team to identify and resolve data governance and quality issues and facilitate project completion. The candidate should be able to apply data sampling and weighting techniques, as well as be responsible for data quality and data integrity.
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data quality jobs Title: data specialist in Atlanta, NC, Germany
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