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Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Information Delivery Qlik Sense, MicroStrategy. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies.
$118,800 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Additional Skill(s): Kafka, Python, Scala, Apache Spark. Additional Skill(s) Kafka Python Scala Apache Spark. Additional Skill(s): Kafka, Python, Scala, Apache Spark. Additional Skill(s) Kafka Python Scala Apache Spark.
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Familiarity with SDLC tools and integration frameworks including Git, Gradle, Camel, Kafka. Develop and integrate Java/Groovy components within fixed income technology stack that consists of in-house built components and vendor software such as ECNs, ION, Bloomberg, Broadridge, Polypaths, Murex.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Required Skills: Extensive working experience with HDFS, Spark, Spark Streaming, Oozie, Hive, Kafka, Kafka Message Queues, Splunk, Flume, Pig, Scala, and Sqoop. Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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You have prior hands-on experience with open-source databases such as ClickHouse, MySQL, MariaDB, or PostgreSQL. Kafka, Airflow, and Terraform are bonuses. As a result, we've created a cutting-edge data platform that offers businesses fully managed open-source solutions such as Clickhouse, Kafka, etc., so data engineers can focus on what they love - building awesome solutions, instead of having to waste time on repetitive tasks related to scaling demand up or down, installing updates, deploying additional software and all the other boring but necessary admin that comes with data technologies.
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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Administration experience of distributed computation and streaming frameworks, like Kafka, Cassandra, Elasticsearch, Flink, Storm, Spark, and cloud services EMR, Dataproc, Elasticache, AWS RDS, GCP SQL or similar.
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Utilize Kafka, Gaia Kubernetes Platform, Splunk, and IntelliJ for efficient development and deployment processes. Additionally, familiarity with Kafka, Gaia Kubernetes Platform, Splunk, and IntelliJ is highly desirable.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Unified Care specialists support patients at home between doctor’s appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience integrating Oracle ERP systems using RESt/SOAP APIs, microservices and API mangers such as Axway, Apigee, Streams such as Kafka, File based integration using sFTP. Hands on experience integrating Oracle ERP systems using RESt/SOAP APIs, microservices and API mangers such as Axway, Apigee, Streams such as Kafka, File based integration using sFTP.
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Our backend runs on Python / Django, using PostgreSQL, Redis, Kafka, gRPC.Our infrastructure is maintained as IAC using Terraform. Our backend runs on Python / Django, using PostgreSQL, Redis, Kafka, gRPC.Our infrastructure is maintained as IAC using Terraform.
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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