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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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You will design, develop, test, and maintain big data pipelines for ingestion, segmentation, and reporting to drive our v. 4+ years of experience in the big data space. Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Big Data experience prefer Hadoop with PIG or Hive. Deep understanding of Market Data including Aggregated, Consolidated and Montage books. Tick Database and Market data streaming understanding.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Assist with periodic testing of disaster preparedness for the Azure Cloud Platform, TN and TX FHN Data Centers. Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Risk IT-Apache Spark/Scala/Big data. Experience in executing Scala/Spark code using Databricks framework. Risk IT-Apache Spark/Scala/Big data. Title: Bigdata Consultant (Apache Spark + Scala + Java.
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Working Knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, ServiceNow a big plus. AWS DevOps certification or Azure DevOps certification. Working Knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, ServiceNow a big plus.
$136,445.2 - $169,100 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge of databases, data warehouse platforms (Snowflake) and Cloud based tools. Two or more years of relevant experience in Data Engineering, ETL Development, Database Administration.
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Core Responsibilities:Ensure transaction/position integrity in Sterling’s records (Advent APX) against client custodial records, and also to Sterling’s OMS (Charles River) and relevant reference data (Bloomberg, etc.
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The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, DevOps, and data engineers. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery.
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big data jobs Title: devops in Charlotte, NC
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