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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Proficiency in SQL, DAX, scripting languages such as R and Python, experience with Cloud platforms, especially Azure, and Big Data platforms, particularly Snowflake. Power BI, Snowflake, Snowsight, Python, R, Big Data, Business Intelligence, Cognos, Report Builder, Azure, R, DAX, Microsoft BI.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) + 7+ years of demonstrated experience in Omnichannel marketing and analytics space, inclusive of digital display, online video, premium OLV, CTV, paid search, social media, and website marketing; and familiarity with digital targeting, activation, trafficking, and measurement.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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SQL and big data mining experience SEO technical experience SEO certification a big plus 3 years of agency experience or managing enterprise SEO campaigns 3 years' experience SEM and SEO Experience developing and implementing SEO strategies, conducting technical audits and SEO problem solving.
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
$143,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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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Experience with some of the following: Kubernetes, Docker, Helm Charts, Cameo, Hadoop, Cloudera, Hortonworks, Apache- Storm or Spark, HBase, YARN, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for Department of Defense (DoD) test ranges and various acquisition programs.
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Build data centric products that will scale well using the following platforms and technologies - Azure SQL, GCP Big Query and Graph technologies (Neo4j), big data solutions like Apache Spark, GCP Data Proc, and in Messaging platforms (Kafka.
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Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.) Strong written and oral communication, data visualization, presentation, and interpersonal skills. Enhance first-party data asset and value through deep analysis of website traffic drivers, customer website behavior, and CRM engagement/impact on brand adherence.
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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
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Js, Koa or other Back-end development technologies 2 years of experience building Cloud-enabled solutions (GCP, AWS, Azure) 2 years of experience working with SQL, NoSQL databases, and big data platforms 2 years of experience in developing CI/CD pipelines 1 years of experience in machine learning engineering or a related field.
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