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Strong project experience in Big Data, Cloudera Distribution 7. The Big Data Engineer shall lead the Big Data Engineering team. Job Title: Sr. Hadoop Architect / Big data Architect.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Big-D Construction, a National General Contractor of award-winning projects built by exceptional people, has a Preconstruction Manager on our Mission Critical team located in Salt Lake City, UT.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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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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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title- Big Data Engineer.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Stay up-to-date with the latest trends, technologies, and industry best practices in the big data and data engineering domains.
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Cloudera, Big Data and Hadoop certifications are a plus. Hadoop administrator using Cloudera, administers Cloudera technology and systems responsible for backup, recovery, architecture, performance tuning, security, auditing, metadata management, optimization, statistics, capacity planning, connectivity, and other data solutions of Hadoop systems.
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big data jobs Title: project manager Company: Crowdstrike
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