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5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
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This professional will exhibit a fervent enthusiasm for data engineering and the implementation of data pipelines. Our client is seeking a senior data engineer to join a team of data engineers on the Marketing Intelligence Team. We have an exciting opportunity to develop and scale our home-grown data platform that powers Marketing Technology platforms.
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Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc) Bachelor's Degree in Computer Science, CIS, or related field (or equivalent work experience in a related field.
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The position entails a balance of ETL tasks and data engineering responsibilities, with some exposure to the Hadoop/Big Data stack. x UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis.
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Programming experience on Java, Hadoop / Big Data, Hadoop and Java scripting, Angular 5, React, NodeJS, a plus. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
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Engage in hands-on development on AWS/Azure/GCP, Java, Kafka, REST/JSON, Spring, Data platforms, and API platforms. The ideal candidate should excel in hands-on programming using Java, Spring, Kafka, Python, REST Services, Web API architecture, design, and development.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Understanding of Data Cubes or SQL Server Analysis Services (SSAS) experience is a plus. Work within a Data Mart and Data Warehouse experience is a plus.
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Hadoop, Exadata experience is desired and Microstrategy/Tableau experience will be a plus. BC forward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Job Title: Big Data Engineer. Oracle Exadata, Hadoop, SQL, Javascript, React, full-stack Java is desired. Requires proven track record in strong data base skills working on Oracle/SQL Server/Exadata, performance tuning, ETL processes, Windows and Linux environments.
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We are looking to hire a Data Scientist to join our RVO Health data science team. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers.
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. Canonical enables operators and communications service providers to embrace this new world, with a focus on platforms such as Ubuntu, OpenStack, and Kubernetes, and reusable, high quality automation for operations at scale.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Deliver high quality, innovative data integration solutions in a fast-paced environment. , plus a few unique ones including "unlimited" time off, annual bonuses, company stock, etc.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Mid-level to senior software developer to design, develop, maintain and test software for the ECR RCF team, collaborating with the development team and business partners to ensure successful delivery and implementation of application solutions in a dynamic Agile environment.
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Working experience in Databricks, SQL Auto loader will be a plus. Proven experience as an Azure Data Engineer or in a similar role. SMBC is in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future.
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hadoop kafka big data a plus jobs in Charlotte, NC
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