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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) 5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$160,000 - $280,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Through closely collaborating, our Hardware Design Engineer will work with cross-functional teams to design high performance and cutting edge motherboards, which build upon the fundamental of our data center products.
$170,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Implement concepts of Big Data (Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI reporting tools, and Data Science toolkits.
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Hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka, as well as experience with data pipeline orchestration tools such as Apache Airflow, experience with Infrastructure as a Code tools such as Terraform.
$125,000 - $203,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Job Segment: Cloud, Electrical Engineering, Electrical, Engineer, Data Center, Technology, Engineering. Supermicro is looking for Principal Product Engineer to focus on Server Cluster.
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Experienced with big data processing technologies (Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, Hadoop/MapReduce, etc. If you're a hands-on professional in data architecture, data engineering, traditional and/or modern data warehousing, ELT/ETL, and/or big data pipeline and processing, you're exactly who we're seeking.
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big data engineer jobs Title: developer california
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