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Baue bei uns verwandte Themen wie Artificial Intelligence, Big Data, Performance Management oder Data Governance als weiteres Standbein auf. Capgemini steht seit Jahren für Expertise in Data Analytics / Data Engineering mit den Produkt-Suiten aller führenden Hersteller, vornehmlich in der Cloud.
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You will focus on building and executing strategies behind growing On Premise Share and accelerating POD distribution within our Offensive and Defensive Megabrands (Bud Light, ULTRA, Stella Artois, Kona Big Wave, NUTRL, Cutwater, Budweiser and regional big bets behind the IPA & Wheat categories.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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This job will include working and gaining expertise in the following areas: IP Protocol (HTTP/HTTPS), VMware, Cloud Computing, Big Data, Linux OS, PostgreSQL Database, Digital Reef Proprietary Software and Grid Technology.
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Job Req ID: 24386 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Big Data Engineer. Good understanding of data pipeline design concepts, Hands-on experience with Postgres and Snowflake, Excellent coding skills in Python, Experience with Apache Airflow and Apache Spark tools, Knowledge of AWS, Experience with CI/CD tools and processes, Good communication skills.
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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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Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics. Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
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Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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As a Specialist Solutions Architect (SSA) - Data Engineering on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of use cases.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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If you are passionate to work with the most valuable asset of an organization – “Data” and “Metadata” - consider applying to the Developer Sr opportunity to join our IT Data Solutions team.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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big data jobs Title: developer Company: Cognizant
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