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FHIR Expertise: Strong hands-on experience with FHIR API protocols and standards, including the design and deployment of FHIR-compliant APIs. Data Lake Proficiency: Extensive experience in designing, building, and managing data lakes on cloud platforms (e.g., AWS, Azure, Google Cloud) and familiarity with associated technologies (e.g., Hadoop, Spark.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience working streaming applications (Spark Streaming, Flink, Kafka or equivalent) Exposure to messaging such as Kafka, ActiveMQ, RabbitMQ or similar messaging technologies. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data persistence technologies such as SQL Server, MongoDB, Kafka, Redis, etc. The following certifications are not required but helpful: ISTQB Certified Tester, ISTQB Agile Tester, Certified Professional Selenium Tester, Docker Certified Associate, Certified Kubernetes Application Developer, Microsoft Certified: Azure Fundamentals, Microsoft Certified: Azure Developer Associate.
$120,560Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience developing applications using Jetty, Apache Camel, Drools/rules engines, Red Hat Linux, SoapUI, Postman, Docker, AWS EC2, ECS/Fargate, AWS SQS, Spring Framework, Sprint Boot, Apache Kafka, AWS Lambda.
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Proven experience with messaging systems such as MQ, Kafka, and AWS SQS. As a Lead Software Engineer at JPMorgan Chase within the Corporate Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Familiarity with opensource data engineering tools and frameworks eg Spark Kafka Trino is a valuable asset. Use emerging and opensource technologies such as Spark Hadoop and Scala. Proficient in programming languages commonly used in data engineering such as Scala Spark Python and Java.
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Experience working with at least one type of relational database and SQL.Experience with big data technologies, such as Hadoop, Spark, or Kubernetes. The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing code (SAS, SQL, Python) to interrogate data sources (Teradata, Hadoop, SAS Grid, etc.) Developing code (SAS, SQL, Python) to interrogate data sources (Teradata, Hadoop, SAS Grid, etc.
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Data lakes (Hadoop, Spark, Presto) Data warehousing (Databricks, Snowflake, Redshift, BigQuery) Will serve as a trusted counsel for the Head of HR Data Engineering, CDO (Chief Data Officer) and Engineering Managers.
$80 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years experience with software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. 2+ years experience with software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Lead the integration of Big Data platforms (e.g., Hadoop, Spark, Kafka) with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka, HBase) and platform.
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Perform Kafka Cluster build, MRC, including Design, Infrastructure planning, High Availability and Disaster Recovery. Experience in building Kafka deployment pipelines using Terraform, Ansible, Cloud formation templates, shells etc.
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Apache Spark Cloudera CCA Spark and Hadoop Developer CCA175. Subject Matter Expert as an Application or Solutions architect in Apache Kafka and Apache Spark. The Confluent Kafka Administrator will be responsible for Design architecture implementation and ongoing support of Kafka clusters on an Event Streaming Architecture Pilot project.
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Implement infrastructure as code (IaC) using Terraform to automate deployment and management of Kafka clusters on AWS. We are looking for a talented Confluent Kafka Developer to join the Raymond James Enterprise Data & Analytics team, with expertise in Terraform and AWS. In this role, you will be responsible for developing and managing our data streaming infrastructure, ensuring seamless integration and high performance.
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Sophisticated experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related.
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hadoop kafka jobs Company: Diverse Lynx in Tampa, FL
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