data engineer

Nitka Technologies develops software for customers in the US and Europe, bringing together professionals from Eastern Europe, North and South America, Armenia, Georgia, and Kazakhstan. The company supports a long-term project for a California-based industry leader in event ticket sales.

• 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 data pipelines ETL/ELT frameworks with reusable dbt macros, incremental models, and snapshot patterns;
• Design and implement data models following medallion architecture patterns;
• Create foundational tables, star schemas, and reporting marts with defined SLAs and data quality contracts;
• Tune Spark jobs and pipeline components to meet SLA requirements;
• Implement automated data quality checks using frameworks like Great Expectations;
• Diagnose complex, multi-system pipeline issues and design mitigations;
• Create and maintain technical documentation, data model diagrams, and operational runbooks;

• 5+ Years of Data engineering experience;
• Advanced proficiency in Python, Spark, and SQL;
• Strong experience with AWS and Databricks;
• Deep understanding of dimensional modeling, medallion architecture, and data warehouse design principles;
• Knowledge of system topologies;
• English (Intermediate level and higher);
• Nice to have: Familiarity with Kafka and modern Data stack tools (DBT, Airflow or equivalent), AI fluency.

• Attractive USD compensation;
• Paid vacation, holidays.