Senior Data DevOps Engineer (AWS, Databricks)

We are looking for a Senior Data DevOps to join EPAM and contribute to a project for a large customer in the e-commerce/fashion industry. As a Senior Data DevOps in Data Platform, you will focus on maintaining and implementing new features to the data transformation architecture, which is the backbone of the Customer's analytical data platform. By constantly challenging the status quo, you will deliver high-performance data processing solutions that are efficient and reliable at scale. Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent. Responsibilities In the area of Operational ExcellenceTroubleshooting user issues related to Databricks (Spark) and suggesting optimizations for long-running or resource-intensive jobsGuiding users on best practices of Databricks cluster managementConsult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systemsIn the area of Delivering New FeaturesImplementing services that improve the CI/CD experience of users by emphasizing self-serviceWorking together with other teams in Customer’s Data Infrastructure to deliver services that serve as a backbone for Customer’s central datalakeIn the area of Compliance & SecurityImproving data access methods to provide bulletproof, secure and by default compliant self-service platformIn the area of Cost SavingsGuiding users and supporting them to find cost-effective setups while keeping high efficiencyImplementing observability solutions in Databricks to reduce slack costsDriving users to adopt edge Databricks features like Photon and Graviton instancesReviewing current infrastructure to find cost-saving opportunitiesAnalyzing, designing and developing solutions in an Agile team to support essential business needs for the platform search application Requirements Proficient knowledge in working with distributed data processing frameworks like Apache Spark and a good understanding of relational database management systemsStrong hands-on production experience with DatabricksPractical knowledge of Python and Scala combined with SQL knowledgeHands-on production experience in cloud technologies (AWS services like IAM, S3, Lambda, EC2)Engineering craftsmanship with an expertise in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring and writing documentationAdvanced English skills Nice to have AWS Networking or Basics of Networking on AWS cloudHands-on experience with Terraform We offer We connect like-minded people:Delivering 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 growth:Leadership 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 teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services) EPAM Uzbekistan is a team of technologists and innovators united by technology. In 2019, we opened our first office in Tashkent. Since then, we’ve built a continuously learning organization that helps its employees reach their full potential and achieve professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.