Data Engineer

📋 Description

• Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows
• Develop and manage data warehousing solutions to support BI and analytics
• Ensure data quality, integrity, and availability across all data systems and sources
• Collaborate with data scientists, analysts, and product teams to understand data requirements
• Optimize query performance and database architecture for speed and efficiency
• Monitor, troubleshoot, and resolve data pipeline failures and incidents

🎯 Requirements

• 4+ years as Data Engineer in tech (non-negotiable)
• Proficiency in SQL and Python or Scala
• Hands-on ETL/ELT pipelines with Airflow, dbt, or similar
• Experience with AWS, GCP or Azure and Snowflake/BigQuery/Redshift
• Strong data modeling, schema design, and DB optimization
• Remote work experience with Slack/Zoom/Google Workspace & US/UK exposure

🎁 Benefits

• Remote-friendly, globally distributed teams
• Growth opportunities across data and analytics
• Focused on career development and cross-functional collaboration