Senior Data Engineer – BI

📋 Description

• Design and expand the data infrastructure that supports our Machine Learning platform.

• Your role will extend beyond maintaining pipelines; you will create systems that convert billions of data points into production-ready models utilized by global consumer brands.

• Architect and enhance advanced ETL pipelines using contemporary Big Data technologies.

• Develop robust data frameworks that span the entire lifecycle: extraction → transformation → ML modeling.

• Spearhead the creation of Airflow-driven data workflows.

• Optimize extensive datasets and intricate SQL queries.

• Implement machine learning models in both batch and real-time settings.

• Enhance cost-effectiveness and scalability within our AWS data ecosystem.

• Raise data quality standards through effective governance and monitoring systems.

• Create internal data tools that empower the Marketing Science & Analytics teams.

⛳️ Requirements

• 2–3+ years of experience as a Data Engineer or ML Engineer in production settings.

• You have a systems-oriented mindset, not just a scripting one.

• You prioritize scalability, cost-effectiveness, and accuracy.

• You have a zero-tolerance policy for mediocrity—performance and reliability are essential.

• You document your processes and set high standards for quality.

🏝️ Benefits

• 100% Remote work environment.

• Competitive salary in USD.

• Paid time off.

• And more.