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Data Engineer

Kaav Inc.

Marketing Technology EngineerSupport identification and implementation of integration, modelling, and orchestration of complex data using relevant coding language(s)Monitor and troubleshoot data engineering-related incidentsSupport development and maintenance of relevant documentationParticipate in knowledge transfer activities, issues, and risksThe Marketing Technology Team oversees the technical aspects of the marketing technology stack. Our technology platform enables robust analytics and delivers personalized, engaging interactions to our guests.As an Engineer for Marketing Technology, you will be responsible for the development, support, configuration, and automation of the data infrastructure that supports our global marketing strategy. You will work closely with other data engineers, analysts, data scientists and marketers to build out new capabilities. The solutions you build will involve large datasets and system integrations in cloud environments.Responsibilities:Technical leadership for the expansion and optimization of data collection and data pipeline architectureSubject matter expert in development and integration with Web Services and APIsMonitor and support data pipelines and ETL workflowsCloud (Azure) infrastructure administration: network configurations, access and permissions, cloud servicesOversee, participate in and manage production deployments.Interface with global vendor and internal teams.Ensure cloud environment reliability, availability, performance and securityDefine and implement monitoring and alerting for cloud infrastructure and applicationsCoordinate recovery from incidents utilizing well defined operational procedures, tools, and efficient communication across internal and external stakeholders.Actively use and suggest improvements to continuous delivery toolset.Requirements:3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake..)2+ years and a proven record of success in Azure administration3+ years and a proven record of success in monitoring cloud infrastructure, applications, big data pipelines and ETL workflowsExperienced in managing outages, customer escalations, crisis management, and other similar circumstances.Proficient with DevOps tools and environments like Azure DevOps, Jenkins, Gitlab, Ansible, Terraform.

Vacancy posted 1 day ago
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