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Big Data Technologies: Apache Spark, Hadoop, Kafka. Big Data Technologies: Apache Spark, Hadoop, Kafka. Drives to exceed expectations in alignment with our BFS SPICE values. Data Warehousing: Data Bricks, Snowflake, Amazon Redshift, SAP HANA.
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Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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Experience testing 'big data' solutions and data pipelines (Snowflake, Hadoop, Spark, Presto, etc.) Experience testing 'big data' solutions and data pipelines (Snowflake, Hadoop, Spark, Presto, etc.
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Amplify Consulting Partners is a data-first consulting company trusted by Fortune 500 businesses to deliver high-impact professional services across the technology ecosystem—from data engineering and visual analytics to data-driven marketing and program management.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
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Proficiency in SQL and experience with modern data processing frameworks and tools (e.g., Hex, Python, R, Tableau, Power BI, Hadoop, Spark). Proficiency in SQL and experience with modern data processing frameworks and tools (e.g., Hex, Python, R, Tableau, Power BI, Hadoop, Spark.
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Have knowledge of the Microsoft ecosystem, including O365, SharePoint, and bespoke solution development. These technologies include but are not limited to: Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights.
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Hadoop, Spark, etc., as well as streaming data architectures based on Kafka, Kinesis, etc., and orchestration tools. Becoming familiar with precision medicine, genotyping and the latest in cancer research.
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Epic Games is looking for a Data Analyst to join our growing Ecosystem Security team. The primary objective of the position is to use data to fight cheating, fraud, or any other type of ecosystem security threat, so that Epic can create the best possible products.
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Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with ETL design, Data Factory / Synapse / Databricks. Experience with big data tools: Hadoop, Spark, Kafka, etc. Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
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Familiarity with a broad range of data platforms (e.g., Oracle, SQL Server, MySQL, Hadoop, Netezza, Teradata, RedShift, Snowflake) and Business Intelligence/data visualization. Familiarity with a broad range of data platforms (e.g., Oracle, SQL Server, MySQL, Hadoop, Netezza, Teradata, RedShift, Snowflake) and Business Intelligence/data visualization.
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Good to know or experience in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake). Far much that one rank beheld bluebird after outside ignobly allegedly more when oh arrogantly vehement irresistibly fussy penguin insect additionally wow absolutely crud meretriciously.
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Technical knowledge in Spark, Hadoop & GCS Stack. Technical knowledge in Spark, Hadoop & GCS Stack. Experience with database modeling and development, data mining and warehousing. Hands on coder with good experience in programming languages like Java, Python, C.
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Have built and worked on data pipelines using big data technologies (like Spark, Hadoop, EMR, SQL, Snowflake) Have built backend cloud-based services in a production environment, using languages like (but not limited to) Ruby, Java, Scala, Python, Go, and tools like AWS.
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Hands-on experience in working with different types of databases; large relational storage engines (MySql and AWS RDS) and distributed storage engines (HDFS/Hadoop, NoSQL and Cloud tools such as S3, Redshift, Snowflake.
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ecosystem hadoop jobs in Snowflake, AZ
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