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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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5+ years of hands-on experience with AWS cloud services, such as Apache Spark, with Scala, AWS EMR , Airflow, RedShift. Big Data engineer - Remote. Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
Full-timeRemoteExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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This position is primarily hands-on (troubleshooting / resolving support tickets) and supervising a few of the IT support team). We invite you to apply for the full-time Information Technology (IT) Help Desk Supervisor position in Livonia, MI. This onsite position provides the opportunity to work with Franciscan sisters and employees from various locations across North America.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our client in the USA is seeking a Senior Cloud Data Analytics Solution Architect for a full-time, permanent position in Allendale, NJ. Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.
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The Development Coordinator will support BBBSLA's overall financial growth through data management and record-keeping, gift processing, the maintenance of fundraising technologies, the implementation of email and direct mail campaigns, and general administrative support for the Fund Development Department.
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Provide subject matter expertise and hands-on delivery of data acquisition, curation, and consumption pipelines on Azure, Databricks, AWS, Confluent. Design, implement (deploy), and support on-premises and cloud-based data infrastructure (systems, flow) that are resilient to disruptions and failures.
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Excellent knowledge on Hadoop Components such as HDFS, Name Node, Data Node, YARN, Resource Manager, Node Manager, and Map Reduce programming paradigm. Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Minuteman Data Engineer (Full-time) High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Hands-on experience in writing python code, PySpark notebooks and Azure Cloud, Configure Databricks clusters and ensure adherence to best practices and coding standards.
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Experience with Global Payments/TSYS and/or Fiserv/First Data. (Big Plus.) With a close-knit team of around 20 full-time employees, the goal is to foster a collaborative environment where everyone wears multiple hats to achieve our goals.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
$55 - $60 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands on experienced with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks. Experience with Databricks, Datalakes, data products, Big data technologies and handling Metadata.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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2 or more years of hands-on experience with EnCase, Cellebrite, Nuix, Magnet Forensics, ZL, Relativity, and other eDiscovery technology solutions. 2 or more years of hands-on technical work experience in eDiscovery, digital forensics, and/or document review technologies.
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