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Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex.
$105,408 - $209,352 a yearFull-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Big Data(Spark, Scala) We have Contract for Big data/ ETL Engineer f or our client Philadelphia, PA. Please let me know if you or any of your friends would be interested in this position.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Working knowledge of AWS services i.e. EC2, ELB, RDS, S3, Route53, Transit Gateway, VPC, Cloud formation, SSM and Transit gateway.
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Source data from a variety of Big Data sources including Oracle, Hive, Redshift, Presto, Amazon EMR, S3 Bucket, etc. Our advanced capabilities in AI, IoT, telematics, data, and analytics drive continual innovation across our platform, as we work to advance the multi-trillion-dollar P&C insurance economy's digital transformation.
Part-timeExpandApply NowActive JobUpdated 3 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 9 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Apache Kafka, Spark, Hadoop, or similar systems. Our primary tech stack consists of Golang, Kubernetes, Kafka, Elasticsearch, and GraphQL, but we also use tools like S3, ScyllaDB, Redis, SQS and many other AWS services.
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Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera. Strong experience with AWS services, including but not limited to S3, ECS, EC2, Fargate, and IAM.
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AWS Certified Solutions Architect - Professional, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty. Expertise in AWS data services (e.g., Amazon S3, Amazon Redshift, Amazon RDS) and cloud architecture principles.
$120,000 a yearExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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With rapid expansion into new geographies, innovations in supply chain, unique delivery models for products ranging from Amazon Fresh groceries, ultra-fast Prime Now deliveries of big-screen TV’s, increasingly complex transportation network, and growing number of shipments worldwide, we see a massive opportunity to fundamentally change the way people get the stuff they need, and make a big impact by cutting billions of dollars of transportation costs from the ecosystem.
$94,600 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport.
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Experience in the integration with and configuration of: Hadoop, SQL Server Big Data Cluster, Kubernetes, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.) The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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AWS Services: Strong knowledge of AWS services, especially those related to data, such as S3, RDS, Redshift, Athena, EMR, Sagemaker, and Glue. · Data Storage Fundamentals: A solid understanding of various data storage options, including Amazon S3, Amazon RDS, Amazon Redshift, and DynamoDB.
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4+ years experience in engineering data pipelines using big data technologies (Python, pySpark, Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark, AWS EMR. 2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR, Cloudwatch, RDS, Lambda, SNS, SWS etc.
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Desired: · Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High-performancecomputing · Demonstrated ability to work independently on complex tasks, and show a willingness to educate and train more junior technicalresources.
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