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Deep understanding of Tableau, Qlik, Power BI, SiSense, Looker, Zoomdata, Thoughtspot, OBIEE, Birst, GoodData, Cognos, Business Objects, DataRobot, H2O.ai, Dataiku, Trifacta, Alteryx or similar tools.
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Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc. Tell compellingstories that use the data– and data visualization - to compel the audiencewith the power of theinsight.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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You will play a lead role with our data engineering team to build out the (very) high scale systems that manage our customers experiments using Big Query, Snowflake, and RedShift. We are looking for a senior backend developer who is interested in working with big data systems.
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You are very comfortable building out reporting in at least one business intelligence tool (e.g. Tableau, Looker, Power BI), and building pipelines for last mile datasets for these tools.
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We have a strong global professional practice network made up of engineers and specialists experienced in dams, irrigation, potable and industrial water supply schemes, hydroelectric generation, mining, flood control and groundwater recharge schemes.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
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As a member of the Core Data team you will establish the foundational set of data pipelines and datasets which are a vital key to success - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 6+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Criteria Finance, accounting, or related degree or equivalent work experience 4+ years experience in analytic and systems support for the financial planning process at multi-unit, multi-concept entity Strong Excel and PowerPoint skills Knowledge of Oracle ERP Cloud, Essbase and/or Power BI is a plus.
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Implement the data analysis pipelines using standard Big Data technologies (Spark, Airflow) Opportunity to expand your knowledge of data engineering tools and platforms using state-of-the-art tech stack.
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
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The first two initiatives we’ve identified that represent the biggest impact to this purpose are in the Bitcoin space with Bitcoin mining and Bitkey, a self custody Bitcoin wallet. Bitkey is looking for a staff-level engineering leader that will help guide and influence the technical direction of the software and services that will power our self-custody product.
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big data mining power bi jobs Company: Multimedia Solutions in San Francisco, CA
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