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Our tech stack currently includes GCP, Python, Looker, and SQL. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience with system engineering around edge cases, failure modes, and disaster recovery (GCP background preferred.
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Experience with cloud solutions - In a "cloud first, mobile first" world, collaborates in the adoption of virtual solutions, e.g. DaaS, Azure, AWS, GCP, to meet customer needs. Leverages public cloud solutions like AWS, Azure, and GCP to achieve organizational "Cloud-First, Mobile-First" priorities.
$127,700 - $164,300 a yearExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge of National Institute of Health (NIH), Good Clinical Practice (GCP), Injury and Illness Prevention Program (IIPP), Human Resource Protection Program (HRPP), IATA Shipping of Blood Specimens, and Bloodborne Pathogens.
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You will also learn to work with our deployment platform and tools, such as GCP, Kubernetes, Vault, and Argo Workflows; and our tech stack which includes Rails, NodeJS, React, Golang, PostgreSQL, and Redis, to name a few.
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Advanced technical knowledge of cloud technology (AWS, GCP, Azure), security controls, database systems, network systems, auditing and compliance software and tools, and IT infrastructure. FanDuel Group is looking to add an Identity & Controls Monitoring Senior Manager to its team with experience across cybersecurity domains, particularly Governance, Risk & Compliance (GRC); Identity & Access Management (IGA); and Audit & Assurance.
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Proficiency in SQL, and additional experience with data engineering tools and technologies (e.g., Apache Spark, AWS/GCP/Azure data services) is highly desirable. Proven experience (3 years) as a Business Intelligence Analyst or in a similar role with expertise in Microsoft Power BI.
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Hands-on experience in GCP, Databricks or Apache Spark mandatory. Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
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Previous experience with cloud platforms such as AWS, Azure, or GCP is a plus. We offer more than 100 brands, including Adidas, Champion, Columbia, Dickies, Fruit of the Loom, Gildan, Oakley, Richardson, Tommy Hilfiger, etc.
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Writing infrastructure as code with Terraform or CloudFormation and using IaC to deploy resources in AWS, Azure, GCP or any other public cloud providers. Data warehousing services (Apache Airflow, AWS DMS, Snowflake.
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Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix. AWS, Microsoft Azure, GCP. Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix.
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Leverage AWS services (e.g., Amazon S3, RDS, Redshift, Lambda, Glue), and GCP to build and maintain a highly efficient data infrastructure. Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Subject matter expertise in at least two cloud platforms with focus on Impact Level (IL) 4/5 and 6 environments-Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI.
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Cloud computing experience with expertise in one or more of the following: AWS, GCP, or Azure. Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery.
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