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Experience with big data technologies such as Hadoop, Spark, or Kafka. We are seeking a skilled Cloud Data Engineer to join our team for a long-term contract engagement.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Big Data Mastery: Expertise in Spark, Hadoop Ecosystem, cloud-based big data technologies, and distributed computing principles. We're seeking a seasoned professional to lead our AI/ML initiatives within the context of big data, pushing the boundaries of predictive analytics and data-driven insights.
$149,160 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Design, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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7+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience. Your responsibilities will include designing and delivering a data service platform using Python, Airflow, and SQL to build various ETL, analytics, and data quality components.
$264,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Cloud Big Data Solutions: Design and implement cloud big data solutions (AWS/Azure/GCP) with a deep understanding of Apache Hadoop and related tools such as Sqoop, Flume, Spark, Kafka, Hive, Pig, etc.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong analytical skills with a methodical approach to problem solving applied to the Big Data/AI domain. 4+ years of hands-on experience in designing, building, testing and deploying data pipelines in Teradata and Hadoop platform with experience in, HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie etc.
$60 an hourExpandApply NowActive JobUpdated 2 months ago - 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.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. We are looking for someone with a good blend of business consulting skills and a data analytics background.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Expertise in two or more data estate workloads like Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), HDInsight, Hadoop, Cloudera/Hortonworks, Apache Spark, Snowflake, MapR, AWS (Redshift, Glue), Google (BigQuery), MemSQL, MarkLogic, Qubole, Pivotal (Greenplum), Actian (Avalanche), Alibaba (MaxCompute) required.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Profound knowledge of cloud services (AWS, Azure) and big data technologies (Spark, Hadoop) We are looking for a seasoned Full-Stack Engineer who is passionate about building sophisticated systems that leverage big data and AI. You will play a crucial role in developing our next generation of AI-powered applications, working with a team of experts who are leaders in the field.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Big Data Experience a plus (Hadoop, MongoDB, Exadata) 9+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases. 7+ years in a Data Analyst role.
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Experience with big data technologies (Hadoop, Spark) and databases (SQL, NoSQL). To drive further growth, they have an immediate contract (No C2C) or perm opening in Dallas for a Senior Data Scientist with substantial experience in the finance sector.
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