Data Engineer (AI)

Location: Remote; Tbilisi

Company

Nitka Technologies develops software for customers in the US and Europe and brings together approximately 300 professionals across Eastern Europe, North and South America, Armenia, Georgia, and Kazakhstan.

What you will do

• Lead discovery and requirements-gathering sessions with business stakeholders.
• Document source schemas and define analytics-ready data model specifications.
• Build, optimize, and maintain end-to-end ETL/ELT pipelines using reusable dbt macros, incremental models, and snapshots.
• Design medallion architecture layers, foundational tables, star schemas, and reporting marts with defined SLAs and data quality contracts.
• Tune Spark jobs and pipeline components by optimizing partitions, reducing shuffle, and improving transformation patterns.
• Diagnose pipeline issues across Spark, Kafka, and dbt, and maintain technical documentation, data model diagrams, and operational runbooks.

Requirements

• At least 5 years of data engineering experience.
• Advanced Python, Spark, and SQL skills.
• Strong experience with AWS and Databricks.
• Experience with Kafka and modern data stack tools such as dbt and Airflow or equivalent technologies.
• Strong understanding of dimensional modeling, star and snowflake schemas, medallion architecture, data warehouse design, and lambda, kappa, and lakehouse topologies.
• Strong spoken English at Intermediate level or higher. AI fluency and the ability to design pipelines for AI-assisted development are also required.

Culture & Benefits

• 100% remote work.
• Full-time schedule of 8 hours per day.
• Long-term project for a California-based customer in the event ticketing industry.
• USD compensation.
• Paid vacation and holidays.