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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. - Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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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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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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They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AWS, No SQL databases such as MongoDB, search engines such as Solr, REST APIs & Web Services, Git, Containers. Staff receive opportunities to expand their knowledge in areas of technology (e.g. big data, distributed/cloud computing, complex algorithms), healthcare and organizational development.
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Search Platforms: Amazon OpenSearch, Elasticsearch or Solr. Traditional DB's: Oracle, SQL Server, DB2. Search Platforms: Amazon OpenSearch, Elasticsearch or Solr. Traditional DB's: Oracle, SQL Server, DB2.
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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.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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This person will be part of a team building out a comprehensive GRC (governance, risk, and compliance) program on the software platform, Archer from RSA (Windows & SQL Server). Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
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Must have experience or knowledge in some of the following areas: databases, SQL concepts, big data, public cloud data technologies, Cloud Data Platforms (e.g. Snowflake, Databricks, AWS Security Lake, etc.
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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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Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.) We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.
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Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis.
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Familiarity with Python, SQL, Hive, or Web crawling is a big plus. Familiarity with search analytics tools (rank tracking, Google Analytics, GSC, Looker) The Manager reports to the Associate Director of Growth & Content Strategy and will work on diverse projects and leverage the best tools to analyze and improve organic search performance (SEO.
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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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Experience in one of the programming languages (e.g., Go, Python, SQL, R, Julia, C/C. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place.
$165,000 - $248,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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