Data Engineer

📋 Description Build and optimize ETL/data pipelines processing millions of records daily. Design scalable data ingestion systems integrating streaming platforms, social media, and other Architect and maintain cloud-based data infrastructure. Develop production-ready Python applications and complex PostgreSQL queries. Work with technologies such as AWS, Snowflake, ClickHouse, Elasticsearch, Spark, and Airflow. Collaborate with Data Scientists and other teams to turn raw data into actionable insights. 🎯 Requirements 6+ years of experience building and maintaining production data systems. Strong experience with Python and PostgreSQL. Hands-on with AWS, Apache Airflow, ClickHouse, Snowflake, Elasticsearch, Apache Spark. Experience designing high-throughput, fault-tolerant data pipelines. Ability to work with large-scale datasets and distributed systems. Strong communication and collaboration skills. 🎁 Benefits Competitive salary and equity package Health, dental, and vision insurance Opportunity to shape developer experience across the organization Access to cutting-edge tools and technologies