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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Prior experience involving 3D scanning or measurement of the human body is a big plus. Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.
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As a member of the Core Data team you will establish the foundational set of data pipelines and datasets which are a vital key to success - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Operational knowledge of PostgreSQL (knowledge of Geometry data types a plus) Familiarity with SQL Server Reporting Service (SSRS/PBIRS): Administration and Report Design Operational Knowledge of another database management system used by the City (Oracle, Sybase, ADABAS, etc.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure (OpenStack) with a true big-data footprint (over 10 petabytes.
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Use this data streaming system to build identity resolution applications and data pipelines that exposes the data we collect in a reporting system, leveraging BigQuery, Dataflow, Pub/Sub and other related Cloud Technologies.
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Excellent technical writing and communication skills in English; fluency in French, Portuguese or Spanish is a plus.
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We are just a short drive up or down I-75 to enjoy the Detroit, Kentucky, Windsor, ONT, Canada areas plus Toledo and Lake Erie Islands - Cedar Point for all your roller coaster thrill seekers.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Experience with software used for trading and financial data management such as Eagle, State Street Alpha, CRD, Aladdin, Factset, Bloomberg is a strong plus. Certifications such as CAIA, CIPM, or CFA is a strong plus.
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Implement the data analysis pipelines using standard Big Data technologies (Spark, Airflow) This role involves frequent communication with our client, and a close working relation with the Data Scientist.
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a plus big data jobs Company: Govcio in MN, Hawaii
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