Senior Data DevOps Engineer with Azure
Epam Systems โ Georgia ยท Posted ~1 month ago
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Log in to add to target listDescription
We are seeking a highly skilled Senior Data DevOps Engineer specializing in Azure to join our team and drive the deployment, configuration, and optimization of data platforms and workflows.
This role combines technical expertise with collaboration, paving the way for scalable and secure data solutions.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
Deploy and configure the Data Platform in Databricks based on the approved architecture and solution designs, ensuring environments are production-ready, secure, and scalable Work closely with cross-functional teams (Data Engineering, ML, Platform, QA) to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and services Diagnose and resolve issues in build/deploy pipelines, data workflows, and production workloads; participate in root cause analysis and implement preventive fixes Develop, standardize, and maintain configuration management practices (infrastructure configuration, environment parameters, secrets, cluster policies) to ensure consistency across environments Produce and maintain clear technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configuration
Requirements
3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role supporting delivery and operations Strong hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure in general โ including DataOps practices such as automated data pipeline deployment, environment promotion, and governance Strong communication and collaboration skills, with the ability to work effectively across engineering, data, and operations teams English at B2 level or higher, ability to participate in technical discussions and produce documentation in English
Nice to have
Experience with MLOps (model deployment, monitoring, lifecycle automation for ML workloads)
We offer
We connect like-minded peopleDelivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growthLeadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it allParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFive trust days per year (sick leave without a medical certificate)Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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