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Exposure to DBT, Airflow, Astronomer and Qlik • Experienced in Python programming language • Exposure to Agile development methodology and a great team player in scrum teams • Experience delivering, and supporting a Snowflake based data warehouse application in production is a plus.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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Data Management: Develop and implement efficient solutions for data management, asset tracking, and version control, ensuring seamless integration with Unreal Engine projects. Extensive experience working with product engineering 3D data pipelines, with a focus on locating, ingesting, and structuring data for real-time rendering applications.
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Computer Data Entry Work from Home Part Time Job Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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Exposure to Data Build Tool (DBT),Qlik replicate, Snowflake, Airflow, AWS infrastructure, CI/CD pipelines. Expertise in Analysis, Design, development, support and Enhancements of ETL in data warehouse environment with any of the market available ETL Tool(such as DataStage/Informatica/Talend/SSIS/Abnitio etc.
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6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy.
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Experience in IDOC processing, APIs and SAP data migration projects. Data warehouses like Google BigQuery. Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub. GCP Data Lead Engineer position is based at our corporate office located in Dearborn, Michigan.
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The Data Center Operations Analyst for the Client Spares Readiness team (part of Data Center Central Operations) will support data accuracy efforts for various workstreams including spare parts data governance, new zone setup, and project-based spares management.
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Oversees the day-to-day operations, personnel management, qualityimprovement, and strategic planning for data operations including availability andsecurity of data assets. Develops and implements strategies to enhance theperformance and capabilities of Data Operations.
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And seven years of experience working in a data processing, analytical or computer programming function; OR Masters degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Economics, Finance, Industrial/Organizational Psychology and Econometrics, etc.
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People value their AAA Membership for access to our trusted roadside assistance, and for the more than 126,000 opportunities to save on dining, shopping, hotels, rental cars, travel events and auto care.
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Utilize statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to oversee in-depth analysis and identify critical trends, risks, and opportunities within transaction data, shaping the strategic direction of projects.
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Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses.
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GCP Data Analytics, Salesforce, ServiceNow training. Knowledge of Data Analytics, Google Cloud Technologies. Perform data quality analysis, identify issues, and propose solution to resolve them.
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Title: data Company: Aaa in Detroit, MI
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