Lead Data Engineer
Requirements:
* ETL/ELT Development: Proficiency in Python scripting and dbt to build and maintain modular data transformation pipelines.
* Cloud Data Warehousing: Experience with Amazon Redshift, including SQL development and basic performance tuning
* Workflow Orchestration: Ability to develop and monitor Apache Airflow DAGs to ensure reliable task scheduling.
* AWS Managed Services: Familiarity with AWS Glue, S3, and the broader AWS ecosystem for serverless data processing.
* Logic Translation: Capability to adapt Informatica ETL logic or similar legacy tool patterns into modern code-based workflows.
* Engineering Standards: Solid understanding of Git version control and data modeling fundamentals.