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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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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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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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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. 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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Big Data Engineer. Remote Data Engineer. Experience as a Data Engineer/Data Scientist, skills in designing frameworks, working with DE/ML frameworks, obtaining data from APIs, FTP, and Data Science libraries and frameworks.
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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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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 DoD test ranges and various acquisition programs.
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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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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 Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. We’re looking to expand our Big Data Engineering team to keep pace.
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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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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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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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Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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big data jobs Title: devops engineer Company: Intuit
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