Data Engineer

Responsibilities:

• Design and develop ETL pipelines using Airflow and Apache Spark for Snowflake and Trino
• Optimize existing pipelines and improve the Airflow framework
• Collaborate with analysts, optimize complex SQL queries, and help foster a strong data-driven culture
• Research and implement new data engineering tools and practices

Requirements:

• Experience with Apache Spark
• Experience with Airflow
• Proficiency in Python
• Familiarity with Snowflake and Trino is a plus
• Understanding of data architecture, including logical and physical data layers
• Strong SQL skills for analytical queries
• English proficiency at B1/B2 level

About the Project:

We’re a fast-growing tech startup in the B2B marketing space, developing a next-generation platform for identifying and engaging target customers.

Our product combines artificial intelligence, big data, and proprietary de-anonymization tools to detect behavioral signals from potential buyers in real time and convert them into high-quality leads.

The team is building a solution that helps businesses identify “hot” prospects even before they express interest — making marketing and sales efforts highly targeted and personalized.