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Tomcat, Resin, Jira, CircleCI, GitHub, BitBucket, Serverless, Microservices, GeoServer, GeoTools, QGIS, AWS, Lambda, EC2, OpenSearch, ECS, Fargate, Elastic MapReduce, Docker, S3, SQS, Elastic Beanstalk, CloudWatch, DMS, RDS, Aurora, CloudFront, Glue, ElastiCache, Redis, Memcache, MapReduce, Hadoop, Spark, Solr, Pig Latin, Cassandra, Apache Mahout, ETL, Amazon Textract.
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Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics.
$131,000 - $219,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience and deep understanding of DA technology stack (e.g. Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance.
$157,000 - $229,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ETL/ELT: Apache Airflow, AWS Glue, Hadoop. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio. ETL/ELT: Apache Airflow, AWS Glue, Hadoop.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC. Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch.
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ETL framework and processes (Databricks, DBT, etc.) We are hiring an Executive Director to lead a global team of ~80 professionals to deliver customer-facing data and analytics capabilities, advance existing infrastructure by adopting cloud-native solutions (e.g., Snowflake, Databricks, etc.
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2+ years of experience using Azure Databricks to build scalable ETL pipelines. Experienced with change management workflows (Azure DevOps, Visual Studio, GitHub, TFS). 2+ years of experience using Azure Databricks to build scalable ETL pipelines.
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Technical knowledge of Agile, Scrum, Lean, Kanban, and DevOps; frontend such as Vue, React, Angular, AngularJS, and Meteor; backend such as Node, Express, Koa, Java; and Database: MongoDB, DynamoDB, MySQL, NoSQL, Oracle, SQL Server; performance monitoring such as AWS Cloudwatch, Datadog, New Relic; and Cloud Infrastructure, including AWS, Azure, GCP, Docker, Jira; SSO, SAML, SFTP, PM2, load-balancing, auto-scaling, and automated testing.
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Perform system migration and data movement using data extraction, transformation, and loading (ETL) concepts. Test and maintain migration and integration scripts between legacy system(s) and deployed functionality using Data analysis and ETL methods.
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High experience level with back-end programming languages (Java/Spring, Python)Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch. Proficient experience utilizing Javascript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Familiarity with any of the following: Spring, ETL tools, ESB message queuing, application security, automated testing, UML, Sparx Enterprise Architect, state-management angular libraries such as NGRX or NGXSDevOps experience /CI/CD pipeline.
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Experience with NoSQL storage like ElasticSearch, Accumulo, MongoDB, HBase is a plus. Familiar with a JavaScript framework like Backbone, Angular, Ember or Vue.js. Experience with at least ONE MVC framework, perhaps including Spring, Django, Flask or Rails.
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Experience with building and managing data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or FlinkExperience in data management technologies including ETL processing, data governance, and data storage.
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Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL / ELT Tools.
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