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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.
$150Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Preferred) Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. (Preferred) Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus. McDonald's is in search of a Data Engineer with a strong background in DevOps engineering.
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Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. This person will need experience with DevOps tools such as terraform, Jenkins, Ansible, Kafka, and scripting for automation.
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Experience with high-speed distributed computing frameworks Apache Flink, AWS EMR, Hadoop, HDFS, MapReduce, Apache Spark, Kafka Streams. Java (8/11/17), Cloud (AWS), Apache Flink, Kafka, Jenkins, Harness, Maven/Gradle.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Ability to communicate with a white glove approach to business teamsAdvanced skills with SQL, Power BI, Tableau, or Qlik. Intermediate proficiency with Python (Pandas, Polars, Spark) or R.Experience with Azure Cloud, PowerBI, and Databricks.
$130 - $140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.) Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Advanced technical skills are required: Junit, Microservices, REST, Shell Scripting, Apache Kafka, GIT, SOAP and REST web services, Spring Framework, Apache Tomcat, SQL,TypeScript, XML, Hibernate.
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Collaborate with senior team members to implement technology solutions for Index's applications using a variety of technologies including AWS (ECS, Lambda, S3, DynamoDB, RDB), Spring-boot microservices, Kafka, and Docker (1.25.
$500 - $2,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Senior Data Engineer - Principal Associate (Spark, Scala, AWS.
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Modern ETL tools (Prefect, Airflow, Kafka, Spark, PySpark or similar) Job Title: Full Stack Software Engineer. It comprises software, data, and machine learning engineers as well as data scientists with diverse backgrounds and levels of experience.
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As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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kafka job Title: principal software engineer Company: Panalgo in Chicago, IL
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