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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Implement and optimize data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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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. 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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Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins. Radian is helping to ensure the American dream of homeownership in even bigger and better ways with industry-leading mortgage insurance and a comprehensive suite of mortgage, risk, real estate, and title services.
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Design, Architecture and implement effective Analytics solutions and models using technologies including, but not limited to – Spark, Snowflake and Hadoop. Expertise in Palantir Data Foundry, Ontology and Python knowledge.
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This Data Engineer will partner with stakeholders to ensure clean and consistent data models and build solutions using SQL, Python, and Spark to address data needs. We're seeking a Data Engineer to join an agile team and help design, develop, and implement a robust data lake using Databricks, Synapse Analytics, and Azure Data Factory.
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The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker. The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. Experience with a relevant programming language, like Python, R, or Rust. Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP.
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The ideal candidate has broad and deep full stack development experience in the Java, Python, GO and/or Spark domains. At GEICO Technology Solutions, we are on a journey to revolutionize the Insurtech space with our technology offerings in the Insurance market and provide excellent service with better efficiency to our Customers and Associates.
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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. 2 years experience as a marketing or communications specialist, recruitment specialist, or similar role.
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Leverage your best sales techniques, uncover leads and spark innovation in areas like cybersecurity, fiber, wireless, cloud, IOT and more. Leverage your best sales techniques, uncover leads and spark innovation in areas like cybersecurity, fiber, wireless, cloud, IOT and more.
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Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks. Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks.
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Big data tools (e.g., Hadoop, Spark, Kafka) Stream-processing systems (e.g., Storm, Spark-Streaming) Data pipeline and workflow management tools (e.g., Azkaban, Luigi, Airflow, and SSIS.
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Spark Support Staff at our Before and/or After School Program. Our Spark program has provided trusted and essential child-care for over 30 years. and the occasional classic board game. Spark Support Staff at our Before and/or After School Program.
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Stream Processing Master: Experience with batch and stream processing technologies like Apache Kafka and Spark to handle data pipelines of all sizes. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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spark job in Omaha, NE
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