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Java 8, Spring boot, Python, PyCharm, Intellij, NodeJS, NPM, VSCode, ExpressJS, Microservices, PCF, AWS EC2, Glue, AWS Lambda, Step Functions, EKS, VPC, CloudWatch, S3, SQS, SNS Apache Kafka, Kubernetes, NodeJS, Gitlab, Jenkins, Grafana, Prometheus, Hadoop, Spark, Hive, Sqoop, Terraform.
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Familiarity with Apache Kafka, Kubernetes, Gitlab, Jenkins, Grafana, Prometheus, Hadoop, Spark, Hive, Sqoop, and Terraform. We are seeking a skilled Architect with a strong background in Java and AWS technologies to join our team in Austin, TX. The ideal candidate will have hands-on experience in product development, with a focus on building scalable solutions using Java, Spring Boot, microservices architectures, and AWS cloud services.
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Proven experience with the following technologies: Entities/API, Spring, GIT, Jenkins, Grafana, Splunk, React, Hadoop, Kafka, Attunity and MQ, DB2, Oracle, MongoDB, etc. Proven experience with the following technologies: Entities/API, Spring, GIT, Jenkins, Grafana, Splunk, React, Hadoop, Kafka, Attunity and MQ, DB2, Oracle, MongoDB, etc.
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At least have one third party tax platform implementation project experience for external tax calculation, such as: Sovos GTD, Vertex, etc Experience in SAP data conversions and customer activities Experience working with BI/Business Objects/Hadoop/ Power BI Experience in participating and supporting integration testing cycle and ability to defect resolution for any problem identified.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus.
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Teradata & Hadoop are a huge plus. Immediate need for a talented Senior Machine Learning Engineer. Experience with cloud-based deployment, particularly Flash API or Flask in Python. Proficiency in Python, SQL, and PySpark.
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Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc. Good understanding of Hadoop ecosystems. edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Job Req ID: 23009 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Base understanding of bigdata technologies e.g. Hadoop framework, kafka, spark etc. Loyalty and Benefits Product Reliability Engineering team is responsible to maintain a stable and robust production system for all Applications which are handing a huge number of enrollments, campaigns, Online Access queries, Client interfaces for VISA. They are responsible for second level problem identification, resolution, security management, data analyses and client query resolution.
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PRE Big data platform manages DAP Hadoop platforms as L-2 24*7. Monitor the Hadoop platforms and debug both platform and application issues. Resources will be primarily responsible for support Hadoop platforms during US hours.
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Required Skills: Hadoop Administration Google Tag Manager Big Data, Hadoop\Big Data Admin. As a Sr. Developer you will be responsible for designing developing and maintaining scalable Big Data solutions using Hadoop.
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark or Hadoop. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark or Hadoop.
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Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics and data governance technologies, especially Apache Hive, Hadoop/HDFS, Trino, Druid, Spark, and related software.
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Preferred qualifications:Experience in Data Analytics (DA) technology stack (e.g., Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance.
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