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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc. Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C#, Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Certified AWS Developer – Associate. Certified AWS DevOps – Professional. js, python, pyspark, spark, SQL, Unix shell/Perl scripting etc. At least 8 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Build, configure and implement applications utilizing following technologies: Java, Spring Boot, Hibernate, RestAPI, Microservices, NoSQL (MongoDB), Kafka, RabbitMQ, Redis, PostgreSQL, Oracle SQL, HTML, Javascript, ReactJS, PCF Cloud, AWS, Kubernetes, Git, Jenkins, Python.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Nice to have: Python, Understanding of big data technologies and frameworks is a plus (e.g., Spark, Databricks, Kafka) Nice to have: Python, Understanding of big data technologies and frameworks is a plus (e.g., Spark, Databricks, Kafka.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C. Extensive experience providing practical direction within the AWS Native and Hadoop. AWS, Python, PySpark, Hadoop Big Data.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Linux, Docker, K8s, Grafana, PostgreSQL, Kafka; Write, review, and organize technical documents that will be published to the FAQs and knowledge base to create customer self-help solutions; Travel occasionally to reinforce customer intimacy or participate in tiger teams within the context of crisis management.
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Utilize complex IT tools and technologies including Red Hat Open Shift Container Platform, Kafka, Kubernetes, Spring Security, JPA/Hibernate, Oracle, Linux, Gradle, and API development among others.
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Experience with Kafka operations and administration. Ability to build a suite of real-time monitoring and automation software that encompass resilient and self-healing platform operations. Familiar working in an Agile structure (Scrum or Kanban) with project management tools: Jira, BitBucket.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with Cloud-based technologies (MS Azure, Spark, Kafka, Databricks) Experience with Cloud-based technologies (MS Azure, Spark, Kafka, Databricks) Support the development of Data Governance, Stewardship capabilities that promotes sharing, capabilities and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities.
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Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka) Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka.
$197,863 a yearFull-timeExpandApply NowActive JobUpdated Today
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