Location
Remote from Tashkent, Uzbekistan; availability during US business hours required.
Salary
$1,500–$4,000 per month before taxes.
Company
DATAI SERVICES MCHJ provides engineering services for a long-term US-based project involving scalable data platforms.
What you will do
•Build and optimize large-scale data pipelines on Azure Databricks using PySpark and Delta Lake.
•Design reliable ETL/ELT ingestion and transformation processes.
•Set up CI/CD and automated deployments using Git, Azure DevOps, Jenkins, and Databricks Asset Bundles.
•Ensure data quality through validation, testing, monitoring, and production troubleshooting.
•Integrate external systems through REST APIs and support deployments across development, test, and production environments.
•Communicate directly with US clients, engineers, and stakeholders and explain technical solutions.
Requirements
•3–6 years of professional experience in Data Engineering.
•Strong hands-on experience with Azure Databricks, including Jobs, Workflows, Unity Catalog, Delta Lake, and Databricks Asset Bundles.
•Advanced Python and SQL skills, with experience in PySpark and Apache Spark.
•Good understanding of Azure services, cloud infrastructure, networking, and security.
•Experience with DevOps and CI/CD, including Git, Azure DevOps, Jenkins, and release management.
•Knowledge of SDLC, Agile, and version control, plus production support experience.
•Advanced or fluent English for daily meetings with US teams, explaining technical solutions, and preparing professional emails and documentation.
•Ownership, problem-solving skills, ability to work independently, and availability during US business hours.
Nice to have
•Healthcare or financial data experience and experience with enterprise data platforms.
•Terraform or Infrastructure as Code experience.
•Experience with Jira, ServiceNow, AI coding assistants, or technical architecture diagrams.
Culture & Benefits
•Long-term remote work on a US-based project.
•International team collaboration.
•Monthly compensation before taxes based on experience and interview results.
Hiring process
•Apply through hh.uz.
•Include Data Engineering experience, Azure Databricks experience, English level, US-based client experience, and availability during the US time zone in the cover letter.
•Compensation is determined based on experience and interview results.
