Role OverviewAs a Senior Data Engineer, you will own the design and evolution of scalable data pipelines and architectures, ensuring mission-critical data is accessible and reliable.
What You Will Do
Design and build robust ETL/ELT processes, lead the evolution of data warehouses and streaming architectures, and implement rigorous testing and monitoring to ensure data accuracy.
Why It Might Be a Fit
Your success is measured by the efficiency of data workflows, the reliability of data lakes/warehouses, and your ability to translate complex data requirements into technical reality.
Requirements
- 5+ years of dedicated data engineering experience
- Proficiency with modern data stacks (e.g., Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, BigQuery, or Redshift)
- Advanced proficiency in SQL and Python or Scala
- Experience building data solutions on AWS, Azure, or GCP
- Strong understanding of data modeling techniques (Star Schema, Data Vault, etc.)
- Advanced English proficiency (written and verbal) for collaboration with US-based clients
- Mandatory experience in nearshore/offshore client-facing startup cultures
Benefits
- Competitive Pay (USD)
- Holidays Off & Paid Time Off
- Health insurance assistance program
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