Quick overview
Job description
About the job:
- Design, architect, develop, support GCP data pipelines to extract, load, and transform data
- Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and supported (i.e. documentation)
- Work with the project team, estimate and plan the work effort
- Attend daily team standups
- Work with business analysts and project management to review business requirements and and produce technical design specs that will meet the requirements
About you:
- 5+ years of hands-on experience as a Data Engineer or Data Architect
- Proven track record leading technical projects and teams
- Expert proficiency in Google Cloud Platform (GCP) tools, including: Google Cloud Storage (GCS), BigQuery, Cloud Composer/Airflow, Dataproc/Spark
- Strong data analysis and problem-solving skills
- Proficiency in a Business Intelligence (BI) tool
- Advanced SQL skills, including writing, tuning, and interpreting complex SQL queries
- Experience writing and maintaining Unix/Linux shell scripts
- Solid understanding of Data Build Tool (DBT)
- Experience with CI/CD pipelines
- Machine Learning experience
- Proficiency in developing Python-based ELT data pipelines
- Expertise in optimizing GCP BigQuery SQL queries and scripts
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