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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
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Benefits: R Java Python REST SQL NoSQL Tableau Azure Big Data storage TITLE: Big Data Architect IT Consultant MasterLOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.
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Advanced skills in big data technologies like Hadoop, Hive, Sqoop, Python, Spark, Presto, Apache Zeppelin, Ranger, Kafka Position requires at least three (3) years of experience in each of the following skills: 7.
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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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Work with data warehousing solutions such as Amazon Redshift, Google Big Query, or Snowflake. - Utilize data integration tools like Apache Kafka, Talend, or Alteryx for data migration and transformation.
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Job Req ID: 25346 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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Apache Spark™ : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job Req ID: 24921 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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3+ years’ experience with Spark, Scala/Python, SQL and Big Data solutions. Experience implementing Big Data solutions using open source technologies. Proven track record working with complex, interrelated systems and bringing that data together on Big Data platforms.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data.
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Responsible for developing data pipelines using Apache Spark (Big Data Processing). Utilize in-depth knowledge of functional and technical expertise in Java Micro-services (Spring Boot) and Big Data in delivering solutions.
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Big Data Technologies: Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow. Elastic Engineer Certification: Certified Elastic Engineer with experience developing logstash and ingest pipelines.
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
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Must have experience in each of the following skills: SQL and Data Warehouse design and usage; Commercial data landscapes; Knowledge of Unix/Linux operating systems; Knowledge of version control concepts/software i.e. GIT or Turtoise Subversion; and Knowledge of big data tools, i.e. Hadoop, Hive, or Spark.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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big data jobs Company: Inc
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