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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies. Experience implementing data integration techniques such as event/message-based integration (Kafka, Azure Event Hub), ETL.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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IBM, BMC or Broadcom would be a big plus. 7 plus years of IBM Db2 systems programming experience in a mainframe z/OS operating system. Nice to have: Enhancing the resilience of DB2 is a plus.
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Our primary tech stack consists of Golang, Kubernetes, Postgres, and Elasticsearch, but we also use tools like ScyllaDB, Redis, Kafka, SQS, and various other AWS services as well. Experience with Docker, Kubernetes, GraphQL, Postgres, Elasticsearch, ScyllaDB, Redis, Kafka, SQS, Docker, databases or AWS services.
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Big Data Technologies: Familiarity with big data technologies such as Apache Spark, Hadoop, Hive, and Kafka. This role requires a strong background in big data technologies, data transformation, and cloud platforms.
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We are a fully remote software engineering team working on the company's next generation security platform. Secureworks (NASDAQ: SCWX) is a global cybersecurity leader that secures human progress with Secureworks® Taegis™, a SaaS-based, open XDR platform built on 20+ years of real-world threat intelligence and research, improving customers’ ability to detect advanced threats, streamline and collaborate on investigations, and automate the right actions.
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Experience of Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Azure Data Factory, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Experience with building solutions in the retail or in the supply chain space is a plus Understanding of metadata management, data lineage, and data glossaries is a plus.
$46 - $58 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Financial Services Experience: Prior experience in credit card or financial services is a big plus. Tech Stack Experience: Familiarity with at least two of the following—Kafka, MongoDB, Sonar, Jenkins, Oracle DB, Sybase IQ, DB2, Drools, CMS tools like Adobe AEM, search tools like Algolia, Elasticsearch, or Solr, and Spark.
$70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ERP experience, accounts payable, ChurnZero, Zendesk, Salesforce, Jira, analytic reporting, and CSM tool experience is a plus. Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization.
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Requirements: Minimum 6 years of experience with Node.js, TypeScript, Apollo GraphQL, MongoDB, and front-end development with Angular, React, HTML5, CSS, and SASS. Experience with AKS, Kafka, Dynatrace, and LogDNA. Familiarity with Cypress, K6, or similar testing tools is advantageous.
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To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Data entry or administrative assistant experience is not needed but can be a bonus.
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Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools. Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools.
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As a dedicated Data Scientist Lead for Fraud, translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
$286,130 a yearFull-timeExpandApply NowActive JobUpdated Today
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