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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Join our world-class team of empathetic, enthusiastic, and creative people who can work on some of the toughest big data problems.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. 5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
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As ABSC’s Data Scientist , your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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If necessary, assist the production manager and live sound engineer with technical advance specific to your position. If necessary, assist the production manager and live sound engineer with technical advance specific to your position.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions.
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Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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O Facilitate an ongoing, formal partnership via a dotted-line relationship with the CAS Data Analytics team's Data Science Manager. o Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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big data jobs Title: data project manager Company: Oracle
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