GCP Data Engineer

Mandatory skills Data modelling, big data Technology (Hive, spark, Hadoop), GCP cloud experience

Roles/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, sparkSQL, and hiveSQL jobs to populate data models.


• Designs data integrations and data quality framework.

Basic Qualifications:

• BS or MS degree in Computer Science or a related technical field


• 4+ years of Python or Java development experience


• 4+ years of SQL experience (No-SQL experience is a plus)


• 4+ years of experience with schema design and dimensional data modelling


• 4+ years of experience with Big Data Technologies like Spark, Hive


• 2+ years of experience on data engineering on Google Cloud platform services like big query.