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Experience in implementing DevOps practices using Azure DevOps or related tools to automate deployment, manage configurations, and ensure continuous integration and deployment for data solutions.
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Over 8 years of experience in DevOps or related roles with a strong background in Infrastructure as Code, preferably Terraform, Azure Resource Manager (ARM) or equivalents like Google Cloud Deployment Manager, and AWS CloudFormation.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Familiarity with Azure DevOps, Smartsheet, Trello, Teamwork, Zoho and similar project management toolsets to manage project tracking, key performance indicators, project budget, resources, and timelines.
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Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc. Experience with modern data tools: Snowflake , BigQuery, dbt, Airflow, dagster, Fivetran etc.
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The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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Experience of installing, configuring, and maintaining DevOps tools and technologies such as Gitlab CI, Azure DevOps, CircleCI, Jfrog Artifactory and other AWS native services. 7+ years of working experience in cloud platforms, micro-services architecture, CI/CD solutions, containers, DevOps principles, automation & configuration management tools (Ansible, Puppet, Chef.
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Role:A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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AWS DevOps Engineer Professional Certification. Profound understanding of distributed system design and data intensive applications. Focused on people and grounded in data, our award-winning culture fosters meaningful careers.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Experience with operational parameters and troubleshooting for four (4) of the following: Compute / Storage / Networking / CDN / Databases / DevOps / Big Data and Analytics / Security / Applications Development in a distributed system environment.
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1+ years experience with GCP and Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks) Our client is seeking a Data Engineer who is highly enthusiastic and has experience in Python and Databricks.
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Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python. Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, dbt, and Python.
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Hands-on experience with any automation-centric scripting and/or tooling such as Ansible, Terraform and Code repositories Azure DevOps. Proficient in creating and maintaining CI/CD pipelines using Azure DevOps.
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He/She will be a Subject Matter Expert (SME) on Cloud, Microsoft Cloud, Azure, DevOps within the division, and will be expected to champion the focus on Microsoft Azure. The Cloud Solution Architect Azure will provide technical leadership on Microsoft Cloud, Azure and Azure DevOps areas.
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