Senior Data Engineer - Mobility-as-a-service Company

📋 Description

• Design, build, and maintain scalable data infrastructure for analytics and reporting.
• Develop and operate ETL pipelines to ingest, transform, and deliver large datasets.
• Work with distributed data processing frameworks (Spark, Hive, etc.).
• Use SQL and data modeling to structure and optimize datasets for analytics.
• Process large volumes of structured and semi-structured data with Spark and Presto.
• Write production-grade code in Python, Java, Scala, or Go.

🎯 Requirements

• 5+ years in Data Engineering, building data infrastructure and pipelines.
• Strong SQL expertise, including joins, aggregations, unions, and windows.
• Hands-on experience with data modeling and schema design for analytical systems.
• Experience building ETL pipelines using Airflow or similar tools.
• Experience with Big Data ecosystems (Hadoop, Hive, Spark, etc.).
• Programming in Python, Java, Scala, or Go.
• Familiarity with UNIX/Linux environments and shell scripting.
• Understanding of software engineering best practices: testing, monitoring, and documentation.
• Strong collaboration and communication with analysts and stakeholders.
• Ability to troubleshoot data issues across pipelines and BI tools.

🎁 Benefits

• 100% remote work from anywhere with internet access.
• Market-leading USD pay.
• Paid time off to unwind and recharge.
• Work with autonomy: manage your time to deliver results.
• Work with top American companies on high-impact projects.