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Orchestrate in Airflow the data tasks to run on Kubernetes/Hadoop for the ingestion, processing and cleaning of data. Snowflake Data Engineer - REMOTE WORK - 51329. Very good understanding of Snowflake integration with data visualization tool such as Tableau.
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Strong hands-on experience with Hadoop, Hive, Apache Spark. Expert in cloud computing platforms and offerings from Google Cloud Platform (GCP) (preferred), Microsoft Azure. Data Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Hands-on experience with any high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Hands-on experience with any high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc.
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Knowledge of data engineering subjects and technologies such as Hadoop, Spark and SparkML. Experience with any visualization tool (Spotfire, Qlikview or Tableau) Hands-on experience with Java, Python and SQL programming, preferably in Sybase IQ and DB2.
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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. Strong proficiency in data engineering technologies, such as ETL frameworks, big data processing, and SQL and NoSQL databases.
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. Development skills around Hadoop, Spark, PySpark, Hive.
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Data Processing: Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. Data Storage: Expertise in working with various data storage technologies, including relational databases, NoSQL databases (like Hadoop HDFS, Apache Cassandra), and columnar databases.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. You will need 5 years frontend user experience, javascript automating workflows inside appian aws unix linux java python node js angular 2.0 or react js and middleware technologies.
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Utilizing big data solutions, SQL Server, DW/Vertica/Snowflake and Hadoop. Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS.
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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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Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required.
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Experience for Clinical Innovations Center only: -Must have two years of experience working with IT systems infrastructure, to include experience working in one or more of the following technologies: Active Directory, Citrix, DNS & Networking, DHCP, WINS, Sharepoint, VMware, Exchange, Windows Server, UNIX, Solaris, Ubuntu, or Appache Hadoop.
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Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others. Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus. Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.
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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka,Sqoop, Hive, S3, HDFS, or. Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, DeltaLakewith Spark SQL, Delta Live Tables, Unity Catalog.
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hadoop job in Dallas, TX
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