Job Summary

We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing building and maintaining scalable data infrastructure that drives business intelligence advanced analytics and machine learning initiatives. You must be comfortable working autonomously navigating complex challenges and driving projects to successful completion in a dynamic cloud environment.

Responsibilities

Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:

• BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.

Experience with other relevant GCP services like Cloud Storage Cloud Dataflow/Beam or Pub/Sub

• Python: Expert-level programming proficiency in Python including experience with relevant data engineering libraries
• SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
• Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer Airflow Dagster or similar).
• DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes

Other Details