Lead Data Engineer in Interfell

Interfell connects LATAM-based IT talent with leading companies, driving the future of work through remote collaboration. The Lead Data Engineer will lead the development of the company’s data ecosystem, designing and implementing a data platform. This role involves close collaboration with product and technical teams to enable data-driven insights, real-time personalization, predictive modeling, and targeted marketing initiatives, while defining the architecture, tools, and strategy for data pipelines, data lakes, cloud data warehousing, and integrations. .

This posting is original from the Get on Board platform.

• 8+ years of professional experience in data engineering, with deep expertise in both batch and streaming data architectures.
• Proven experience building scalable ETL/ELT pipelines and distributed data processing frameworks.
• Strong proficiency in Python and modern ETL tools (GCP Cloud Dataflow, Fivetran, dbt, Apache Spark).
• Hands-on experience with cloud-based data platforms such as BigQuery, Snowflake, Redshift, or Databricks.
• Solid understanding of Customer Data Platforms (CDPs) like Twilio Segment or RudderStack.
• Experience with streaming technologies (GCP Pub/Sub, Kafka, AWS SNS) is highly desirable.
• Background in multi-tenant SaaS architectures is a strong plus.
• GCP.