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Exposure to Spark, Hive, GCP Data Fusion, GCP Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language. JOB TITLE: GCP DATA ARCHITECTJOB LOCATION: Phoenix, AZ (Day 1 onsite / Hybrid Model JOB TYPE: CONTRACT Job Description: Mandatory Skills: Extensive experience working with GCP Data-related Services such as Cloud Storage, Dataflow, Dataproc, BigQuery, Bigtable.
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9+ years of experience in JavaScript, Java, TypeScript, SQL, Python, or Go. - 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 9+ years of experience in JavaScript, Java, TypeScript, SQL, Python, or Go. - 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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5 to 10 years hands-on experience developing data solutions in one or more cloud technologies (AWS, Azure, GCP, Snowflake, etc.) , with two or more programming languages (Python, SQL, Java, C#, Scala, R, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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7+ years of experience in at least one of the following: JavaScript, TypeScript, SQL, Node.js, or Vue.js. 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.
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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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Familiarity with GCP services, such as Google Cloud Storage, Cloud Functions, Pub/Sub, Cloud Scheduler, Cloud Run, BigQuery, and Cloud SQL. Experience with cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
$75 - $80 an hourExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Our stack includes Kubernetes, Docker, GCP, AWS, Azure, Ansible, Terraform, Vault, Backstage, Gitlab, Tensorflow, Datadog, Elasticsearch, Kafka, Hadoop, MySQL, MongoDB, Python, and Go. Proficiency with programming languages like Python, Golang, and shell scripting to automate tasks.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure)? Essential Skills: Snowflake, DBT, Informatica, SQL, Python. experience utilizing Linux scripting (Python, Shell, etc.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) 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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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Utilize programming languages like React, JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and a variety of AWS tools and services.
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