Location
Remote from anywhere; availability during US business hours. Listed location: Tashkent, Uzbekistan.
Company
Work on international enterprise projects for US clients, helping businesses build modern data platforms, automate data processes, and improve data-driven decision-making.
What you will do
•Develop and maintain SQL queries and Python scripts.
•Assist with building and supporting ETL/ELT data pipelines.
•Clean, transform, validate, and work with structured and semi-structured data.
•Support system-to-system data integration and troubleshoot data issues.
•Participate in technical discussions and meetings with US-based teams.
•Write basic technical documentation.
Requirements
•Strong SQL skills, including JOINs, CTEs, subqueries, window functions, aggregations, keys and relationships, and basic query optimization.
•Strong Python skills, including data structures, functions, OOP, file handling for CSV, JSON, and Excel, exception handling, Pandas basics, and clean reusable code.
•English at Upper-Intermediate level (B2) or higher, with confident speaking in meetings and good written communication.
•Availability to work during US business hours.
•Strong logical and analytical thinking, basic Git knowledge, willingness to learn, and the ability to learn quickly.
•No professional experience is required when technical skills are strong. A university degree is not mandatory.
Nice to have
•Azure services, including Data Factory, Databricks, Synapse, SQL Database, ADLS Gen2, and DevOps; Microsoft Fabric; Power BI; and DAX.
•Apache Spark or PySpark, Delta Lake, Airflow, dbt, and Docker.
•Data warehousing, star-schema data modeling, SQL Server, or PostgreSQL.
•GCP services such as BigQuery or AWS services such as S3, Glue, or Redshift.
Culture & Benefits
•100% remote work from anywhere.
•Real enterprise projects for US clients.
•Mentorship from experienced Data Engineers.
•Growth path from Intern to Junior, Middle, and Senior.
•Long-term opportunity with salary based on technical skills, English level, and interview results.
Hiring process
•CV review followed by an SQL and Python test.
•English interview, technical interview, and final interview.
•The application should include English level, SQL and Python experience, projects or GitHub if available, LinkedIn profile, and availability during US business hours.
