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Experience on distributed systems frameworks like Hadoop including hands on experience on HDFS, MapReduce, Google Cloud Platform etc. TransUnion’s Data Engineer, MTA is responsible for managing the day-to-day activities and working on assigned tasks to facilitate and contribute to the successful completion and delivery of team projects and initiatives.
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Hands on experience in writing, designing image processing system, complex operations on geo data. Experience with cloud services (AWS, Azure, Google Cloud) and understanding of data pipeline tools and services offered by these platforms.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Experience with virtualization such as VMware ESXi, any public cloud (AWS, GCP, Azure), Docker and/or Kubernetes Must have hands-on experience in supporting and managing Google Workspace and Office 365 Knowledge of Identity Management (IAM/PAM) concepts.
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O Good knowledge in various cloud platforms (AWS, Azure, Google Cloud etc.) (hands-on experience Cisco ACI is a must) o Excellent understanding on Load balancing, Underlay & Overlay, VXLAN, Micro segmentation, network fabric cloud, DNS, DHCP, IPAM solutions.
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Hands-on experience with cloud deployment and management tools (AWS CloudFormation, Google Cloud Deployment Manager, etc. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is a plus.
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Experience with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Salesforce Marketing Cloud) and how to drive key performance indicators. Hands-on experience with relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra.
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A cloud certification such as AWS Certified Solutions Architect Associate, Google Certified Professional – Cloud Architect, or MCSE: Cloud Platform and Infrastructure. Hands-on experience with Docker, OpenShift, or Kubernetes.
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Hands on knowledge in machine learning / deep learning with AI frameworks such as TensorFlow, Keras, or PyTorch. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
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5+ years' experience working with Jenkins, Ansible, Docker, Kubernetes, Gitlab, GitHub and hands on experience with integration the tools. Knowledge and experience in various cloud technologies such as AWS, Azure, Openstack, Google Cloud and Micro services implementation.
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Strong understanding and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). They contribute to the vision for developing our modern data infrastructure on our Microsoft Azure cloud platform.
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Hands-on experience in the Azure data stack (Azure Data Factory, Azure Data Lake, Tabular Model / DAX, Azure Analysis Services) but If you have strong hands-on experience with complementary data technologies such as AWS Stack, Google Cloud Platform, Hadoop, Amazon Glue, Spark, Airflow and so on we would love to talk to you.
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Background and hands-on experience with Cloud technologies (Google Cloud or AWS) is a plus. Hands-on coding and full-stack development using of critical components and features of content moderation.
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Must have : Hands-on experience with terraform, Ability to write reusable terraform modules, IaC pipeline/Terraform scanning. Must have : Experience with Jenkins, ADO, Cloud build, Artifact registry, Google cloud deployment.
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Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
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