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Familiarity with Snowflake, Airflow, and other Big Data and data pipeline frameworks. Expert-level competency in Big Data manipulation and transformation, both within and outside of a database.
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Support migrating big data workloads like Hadoop to Azure services like HDInsight.
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Automate data platform deployment and configuration using Terraform, ARM templates and Azure DevOps. Automate data platform deployment and configuration using Terraform, ARM templates, and Azure DevOps.
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Home of Big 10 conference member, Purdue University. Excellent opportunity for a General Anesthesiologist to join our collaborative team at IU Health Arnett Hospital located in Lafayette, Indiana, home of Purdue University.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Experience with ETL tools such as Azure Data Factory and Databricks.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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Implement metadata management, data lineage, and auditing capabilities on Azure data platforms using Purview. Migrate on-premises databases and data warehouses to Azure services such as SQL Database, SQL Data Warehouse, etc.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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10+ years of experience in cloud data architecture with a focus on Microsoft Azure. To provide Architecture Solution to Design and implement cloud data solutions on the Microsoft Azure platform.
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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Experience with any of the following tools: AWS Big Data and native tools Matlab Simulink IBM DB2, Oracle, Netezza Unix, Red Hat AWS Solutions Architect DevOps Continuous Delivery Architecture, DevOps Foundations Model-Based Systems Engineering TOAD Proficiency with data mining, mathematics, and statistical analysis desired.
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Experience in AWS, Databricks, Python, Airflow, GIT, MuleSoft, Data Management tools and other cloud integration technologies. Experience with data analytics, pharma sales and transactional data, data governance, and stewardship.
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big data jobs Title: developer Company: Cognizant
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