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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Group Problem Solving, Machine Learning, Microsoft Power BI, Model Building, Python (Programming Language), Statistical Analysis.
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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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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Areas of focus will include but not be limited to blockchain, cryptocurrency, artificial intelligence, machine learning, cybersecurity, data privacy, virtual reality / augmented realty, big data/predictive analytics, and social platforms.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
$176,700 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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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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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, Google Cloud Platform and Azure. Extensive professional experience with Big Data systems, data pipelines and data processing.
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Experience working with modern data technologies stacks such as Databricks, Google Big Query, Redshift, RDS, Snowflake, or similar solutions. The ETL process of getting data from our business systems (e.g. Hubspot, Outreach, Maxio, Netsuite, Voyager, etc) into our data warehouse (Databricks.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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big data jobs Company: Php in WY, Ohio
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