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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Providing thought-leadership for innovating toward the next evolution of technology products, including agile approaches, leveraging ‘big data’, cloud platforms and services, advanced analytics, data science and machine learning/artificial intelligence.
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Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, dataflow, Python, airflow etc. 8+ years of engineering experience in Big Data systems, Data Analytics and Data Integration related fields.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. What Data Science contributes to Cardinal Health.
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Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure.
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Knowledge in languages like Python, R, SQL, etc., for custom data quality checks or integrations. an experienced and knowledgeable Senior Data Quality Analyst to join our team and provide expert support for the implementation and development of the.
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The Contact Center Manager Data Engineering will report to the Contact Center Platforms Application Development Manager and have aligned data and software engineer direct reports. Collaborate with Business and Analytics leaders as well as the CIO organization to develop a Contact Center data strategy and roadmap, in partnership with EDS and Architects, for evolving from the current-state data ecosystem on-premises to a target-state data ecosystem leveraging cloud-native technologies.
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Knowledge of big data technologies such as Apache Spark. TekStream has an immediate opening for a Data Engineer with a strong background in Python, AWS and Databricks for a remote long term contract.
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Cisco network certifications or demonstrated experience, such as CCNA, CCNP, or CCSP is a big plus. Expert knowledge of Cisco Adaptive Security Appliance (ASA), Cisco Nexus products(core, distribution, data center), Cisco Catalyst product lines and their configuration.
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Cloud/big data tools (ex. Familiarity with data integration techniques, ETL frameworks (e.g., Apache Spark), and workflow management tools (e.g., Airflow). Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and associated services (e.g., S3, Redshift, BigQuery.
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You will be able to contribute and help shape the vision and design of data strategy and data management that guides and prepares data used for all aspects of people analytics. Designs and develops data architecture to support people analytics function (Workday, Prism, disparate data sources.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Experience in leading data engineering team in delivering quality software solutions leveraging Azure cloud, Databricks, Snowflake, Power BI, API/micro services, and Kafka event driven technologies.
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3+ years of hands on experience on one or more of big data technologies such as Cloudera Hadoop, Pivotal, Vertica, MapR is a plus. Build and automate the data ingestion, transformation and aggregation pipelines using Azure Data Factory, Databricks / Spark, Snowflake, Kafka as well as Enterprise Scheduler tools such as CA Workload automation or Control M.
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big data jobs Title: data administrator in Columbus, OH
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