About this role

Lead the design, development, and optimization of scalable data platforms and pipelines.
Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.
Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.
Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.
Implement data quality, validation, monitoring, and observability frameworks.

7+ years of experience in data engineering within cloud or hybrid environments.
Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.
Advanced SQL skills and proficiency with data transformation techniques.
Strong Python programming skills for data processing and automation.
Hands-on experience with Snowflake.
Experience migrating from BigQuery or similar columnar data warehouse technologies.
Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.
Strong problem-solving and communication skills.

Lead Data Engineer

Key skills