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Experience with React, JavaScript, TypeScript, HTML, CSS, CI/CD, Jest, Cucumber, Selenium, ReduxAble to design reusable components and modulesFamiliarity with cloud platforms, ideally Google Cloud Platform (GCP)Working knowledge of data storage solutions like Big Query or Cloud SQL and data engineering tools like AirFlow or Cloud Workflows.
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Google Cloud DevOps, GKE, Terraform infra background, Google Cloud DevOps, Data Flow, Big Query, DevSecOps. Skills. Provision of Data Flow, Big Query using terraformCandidate should be from infra background.
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Raising CRQ and following up of approvals from change managers, Perimeter Governance team, Site leadership, Application Owners and Change Management team Implementing the tunnel change on the firewall along with Network data team for routing the vendor NAT IPS on CSH side.
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The successful candidate will play a key role in designing and developing an in-house Big Data Vulnerability Management System that leverages cloud technologies. Position SummaryWe are seeking a highly skilled and motivated individual to join our team as a Big Data Cloud-Based Vulnerability Management Data Analytics Developer.
$140,000 - $280,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of working experience in data engineering / data transformation / big data and solution architecture / other related. As the Principal Data Engineer for the Risk and Finance Technology team, you will be responsible for defining and leading the strategic direction for transforming Citizens’ Finance, Risk and Compliance Technology platforms.
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3+ Experience working with Big Data technology and cloud such as Hadoop , Spark, Hive, Microsoft Azure. Data Engineer – Performs job functions with general supervision and peer review.
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Job Title: Big Data Engineer Job Location: Phoenix, AZ Job Type: Contract Job Description: iSoftTek Solutions Inc is seeking a talented Big Data Engineer to join our team.
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Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage. Hands-on with application design, data management and automated testing.
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Proven experience as a Data Engineer with a focus on big data. Job Description: Data Engineer. In-depth knowledge of Google big data technologies.
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2+ years hands on experience on Google Cloud Platform Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. Role: Sr Google Cloud Platform Data Engineer with 12+ years.
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Good understanding of big data technologies such as Spark, Mapreduce, YARN, Hive, Zookeeper etc. 5+ years of software development experience in big data technologies such as Python, Spark, PySpark, Spark SQL, Shell Scripting & Hive.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Skills: scala,cloud computing,hive,data,hbase,mapr db,cassandra,yarn,big data engineer,spark,big query,hadoop,nosql databases. Required Skills Big Data Engineer with 3-4 years of hands-on Spark/Scala and Hive experience.
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Familiarity with Data Centric application design, Event Driven Systems, Kafka, Big Data ecosystem , Data pipelines, Stream processing systems etc. Hands-on coding experience in One Amex suite of platforms and products, especially One App, One Data, One Stream etc.
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2+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk.
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You’ve 2+ years of experience in architecting big data systems around technologies like Apache Spark and Hive. You’ve experience in performance tuning of big data systems. Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants.
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big data engineer jobs in Phoenix, Fernley, Nevada
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