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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Provide analysis and assessments of commercially available and open-source data, with a specific focus on the geospatial domain, to deliver actional intelligence reports. The Unconventional is seeking a Open-Source Intelligence Analyst - SME to join our Global Open-SourceNetwork.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
$300,000 - $485,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Senior Data Engineer (Python, Kafka, Databricks, AWS) 2+ years of data warehousing experience (Redshift or Snowflake.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Experience in statistical learning methods for GTM attribution and building from the ground up end-to-end data driven attribution systems which may include marketing mix models (MMM) and algorithmic multi-touch attribution (MTA.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Develop, scale, and improve in-house/cloud and open-source big data systems for query engine, storage, or resource management (e.g. Hive, Spark, Flink, Presto, HDFS, HBase, Yarn, Kubernetes, EMR, EKS, etc.
$136,038 - $182,490 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Nice to have: Hands-on experience with some of the data analytics products such as Spark, Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg.
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Experience working with Google Cloud SDK and APIs to interact with GCP services programmatically and automate tasks. We are looking for someone with: Proficiency in GCP services such as Cloud Storage, BigQuery, CloudSQL, Dataflow, AirFlow, Composer and others.
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Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done. A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
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Two years of full-time paid experience as a database architect or database administrator in the information technology industry designing, building, operationalizing, securing, monitoring, and maintaining Google Cloud Platform or comparable cloud computing platforms using applicable data infrastructure such as Google Cloud Storage, Google BigQuery, Google CloudSQL, and Google Cloud Run for data processing.
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An understanding of, and ideally experience with, cloud hosting providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure, Pivotal Cloud Foundry, and Open Shift) and containerization technologies (Docker and Kubernetes.
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