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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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With your knowledge and expertise and under the supervision and mentorships of the Lead Software Engineer and Application Development Manager, you will contribute to the team in regard to best practices as well as contribute to the development and maintenance of appropriate standards, guidelines, and best practices.
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Are you an accomplished Data Engineer who wants to further grow their Databricks expertise, develop technical content and presentations, and help build a best-in-class Databricks community of practice.
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You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights. As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems.
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Proficiency in commonly used tools in software engineering like, MS Project, Excel, Word and PowerPoint, Rally/Jira, Service Now, Primavera, Confluence, Clarity, Power BI, WorkBoard (or equivalent tools.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Experience building data visualizations with Tableau and Power BI. Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Date: 08/29/2024 Job Title: Data Analyst Work Location: Atlanta, GA Requirements: Must possess a working knowledge and awareness of mathematical principles and statistics Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment Basic HTML knowledge Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.
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We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Junior Software Engineer / Developer. We are looking for an enthusiastic engineer to join our team and help us build amazing digital products and experiences that further the mission and vision of Passion.
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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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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Good data analysis skills using Excel and any other BI tools. The Digital Technology Services Platforms & Tools (DTS P&T) is responsible for developing and managing tools enabling Service Management, Agile Execution, Project Portfolio Management, DevOps Tools and DTS BI, for all the S&P Global Divisions.
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We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience building self -service enterprise scale data platforms with microservices architecture and lead these foundational efforts.
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power bi data engineer jobs Company: Everest Consultants Inc in Atlanta, Fernley, Nevada
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