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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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A) As part of the Big Data Support Services , Service Provider will provide 24x7 support of the following State Street database environments: Exadata, Netezza, Oracle databases (DBA), Oracle database appliance (ODA), ZFS, Golden Gate ( Big Data.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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5+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark etc. Job Title Big Data Engineer. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS Big data technologies.
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NextPath Career Partners is currently seeking a Senior Data Engineer – Azure Big Data to join our client’s team. The post Senior Data Engineer – Azure Big Data (3757) appeared first on NextPath Career Partners.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Position-Big Data Engineer. BigData -Spark,AWS-Redshift,Azure ADF,Azure-BI Developer,BI - SAP Hana,BigData -Cassandra,BigData -Flume,BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Impala,BigData -MongoDB,BigData -Nifi,BigData -Scala,BigData -Spark,BigData -Sqoop,Cloud – DataBricks,Cloud – Snowflakes,Data-Dremio,GCP (Google Cloud Platform),BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Pig,BigData -Sqoop,Perf testing - Apache Jmeter.
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Experience with dbt or similar analytics workflow tools a big plus. 4+ years of professional experience as a data scientist in the SaaS industry. We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people.
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Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka, Hive, and Airflow. Experience building production systems with more modern ETL and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search.
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1+ years experience with big data technologies like EMR, Hadoop, Spark, Cassandra, MongoDB or other open source big data tools. Keep up with current trends in big data and Analytics , evaluate tools and pace yourself for innovation.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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1.1 Big Data Support (Exadata, Netezza, ODA, ZFS, GG, DBA) (b) As part of the Big Data Support Services , Service Provider will operate a tiered support model where the first level support for the infrastructure will be provided through the SysOps team (i.e., monitoring, basic troubleshooting) and the second level support will be provided by the Big Data Support system administrators as well as Big Data database administrators.
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Working knowledge on Google Cloud, especially end-to-end machine learning with TensorFlow on GCP, Smart analytics & AI on GCP, Terraform, CAIP, DLVM, Big Query, NLP notebook, Python notebook services, R Notebook services, Data exploration services, Data visualizations, Tableau, RStudio, Speech to text, Text to speech services, IAM permissions configurations etc.
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big data jobs Title: pediatric physical therapist in Peoria, Arizona
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