Summary
✨ AI‑Generated
A lead data engineering opportunity focused on designing scalable data platforms and pipelines on a major public cloud. You will lead solutions using managed analytics, streaming, orchestration, and storage services, automate infrastructure with Terraform, establish CI/CD practices, ensure data quality and reliability, collaborate with stakeholders, and mentor other engineers. The position supports remote work within the country.
Highlights
Lead a modern cloud data engineering function with freedom to work remotely, design scalable data solutions, drive infrastructure automation and DevOps practices, mentor engineers, and work with a broad range of managed cloud data services.
Description
We are seeking an experienced Lead Data Engineer with strong Terraform expertise to design, build and maintain scalable data solutions on Google Cloud Platform.
In this role, you will lead the development of robust data pipelines while driving best practices across infrastructure automation and DevOps processes.
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
Design and build scalable data pipelines using GCP servicesLead the development of data solutions leveraging BigQuery, Dataflow and Dataform/dbtOrchestrate workflows with Cloud Composer/AirflowManage real-time data streaming through Pub/Sub and Cloud StorageImplement infrastructure as code using TerraformEstablish and maintain CI/CD pipelines with GitHub ActionsCollaborate with stakeholders to translate business requirements into technical solutionsEnsure data quality, reliability and performance across all systemsMentor team members and promote engineering best practices
Requirements
5+ years of hands-on experience with SQL and PythonExpertise in GCP services including BigQuery, Dataflow and Dataform/dbtProficiency in Cloud Composer/Airflow, Pub/Sub and Cloud StorageSkills in DevOps practices including CI/CD, GitHub Actions and TerraformGood verbal and written communication skillsGood business acumenEnglish proficiency at B2 level or higher
Nice to have
Google Cloud Professional Data Engineer CertifiedFamiliarity with Data Lake technologies such as IcebergKnowledge of CDC using DatastreamUnderstanding of Dataplex, Knowledge Catalog and Analytics HubCompetency in Looker
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.
