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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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Familiarity with GCP / BigQuery / Looker Studio. Design, develop, and maintain scalable data pipelines using Python / R and BigQuery. Adaptability to evolving technologies, industry best practices, and advancements in GCP/Looker Studio.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Implementing processes for meeting IAM controls including periodic reporting capabilities on access, reconciliation between SailPoint and Azzure and GCP tenants. We will also at some point of time build in GCP. Having experience in IAM for Azure, AWS and GCP is preferred.
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Keywords: Cloud, AWS, Azure, GCP, DevOps, CI/CD, Terraform, Docker, Kubernetes, Python, Github, Jenkins, Linux, Windows. Experience writing scripts using Python, Bash , PowerShell, and/or Groovy Experience in Github 3+ years experience working with cloud platforms and services ( AWS , Azure, GCP, etc.
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Leverage technologies and languages such as Hevo, DBT, Python, SQL, Sacala, Bash and more. 1-3 years of experience with Hive, BigQuery, Scala, Spark, Python, Java. 1-3 years of experience with Cloud Computing (GCP, Big Query, Snowflake.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
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Proficient with scripting and IaC languages to automate tasks/services (e.g. Bash, Python, Groovy, Ansible, Terraform, CloudFormation, ARM, etc. Experience with Cloud Provider Services such as AWS, GCP, Azure or PCF.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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7+ years of experience in at least one of the following: JavaScript, React, Angular, or Python. 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Lead Software Engineer, Full Stack (JavaScript, React, AWS.
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Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP. Proficiency in one or more of the programming languages we use: Python, Java, or Clojure.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply) As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Python, JavaScript, Django, Java, Jest, PyUnit, Go Testing, Ansible, Terraform, Stack storm, Jenkins, Spinnaker, Artifactory, OpenShift, Kubernetes, OpenStack, VMware, AWS, GCP, Jira. Python, JavaScript, Django, Java, Jest, PyUnit, Go Testing, Ansible, Terraform, Stack storm, Jenkins, Spinnaker, Artifactory, OpenShift, Kubernetes, OpenStack, VMware, AWS, GCP, Jira.
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Expertise with the tools and languages we use to automate cloud infrastructure will also prove valuable in making early contributions to the team, specifically Python, Golang, Cloud (Azure or AWS or GCP.
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