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Experience within the big data ecosystems (e.g. Spark, Flink, Hive, Presto) Experience within the Python data science ecosystem (e.g. NumPy, SciPy, scikit-learn, Jupyter) 2+ years industry experience in engineering roles in machine learning and/or data science/analytics.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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The Sr Business Analysis Manager delivers big insights and helps leaders throughout the business to make critical strategic and operational decisions and shape the long-term vision of T-Mobile.
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The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, re-imagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations.
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You will also have opportunities to provide cutting-edge, practical legal advice to Databricks engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection and AI. You will report to the Assistant General Counsel for Product, Privacy, and IP.
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Experience in big data technologies such as EMR, Hadoop, Spark, Hive, Presto, Redshift, Airbyte, etc. Experience in distributed processing using EMR, Spark, Hive, or other big data frameworks.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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Experience with backend development (e.g., NoSQL databases, AWS, analytics, and exploring data in a big data environment like Dynamo, Kinesis, Redshift, etc.) Talis is hiring a Services Architect / Senior Software Engineer to develop live-ops features for an exciting early-stage game studio.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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Experience with Big Data platforms such as Apache Spark, EMR, EKS, Flink. The DnR Data Transform team provides large-scale ETL capabilities to security big data pipeline.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Experience with major big data technologies and frameworks such as Hadoop, MapReduce, Pig, Hive, Spark, Storm, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra. Hands-on working knowledge with popular big data distributions such as Hortonworks, MapR, Cloudera.
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Focus areas for this role will include but aren't limited to: working with Salesforce to process inbound requests related to system administration; creating reports in tools like Salesforce and Hubspot; keeping tabs on and updating such reports as GTM needs change; supporting RevOps on identifying new accounts; enriching account data and uploading into Salesforce; distributing prospects to the appropriate AE and SDR; and account scoring.
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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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Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms. Proficiency in big data processing in Apache Spark with Python or Scala.
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big data jobs in Bellevue, WA
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