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