Design, develop, and 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 stand-ups
Work with business analysts and project management to review business requirements and produce technical design specs that will meet the requirements

Requirements

3+ 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
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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architectureGoogle Cloud PlatformGoogle Cloud StorageBigQueryCloud ComposerAirflowDataprocSparkSQL

Soft Skills

problem-solvingleadershipteam collaborationcommunicationproject estimationplanning