Gcp Data Engineer

Role & responsibilities

• Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
• Designs data integrations and data quality framework.

Desired Candidate Profile

• 5-10 years of experience in Data Engineering with expertise in GCP technologies such as Dataproc, Data Flow, BigQuery, etc.
• Strong proficiency in Python programming language along with experience working with Spark or other ETL tools like Data Frames.
• Experience building complex workflows using Airflow scheduler for scheduling tasks at scale.