Data Engineer
Core
Design, develop, and maintain scalable data pipelines on Google Cloud Platform for client innovation projects.
Role type
Data Engineer
Builds
Scalable ETL/ELT pipelines, data orchestration workflows, and efficient data models on GCP.
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Google Cloud Platform (GCP), BigQuery, Apache Airflow, Cloud Composer, Dataplex, SQL, Python
Preferred skills
Data Lake and Data Warehouse experience, CI/CD, Infrastructure as Code, Google Cloud certifications, enterprise cloud migration experience
Technologies
Google Cloud Platform, BigQuery, Apache Airflow, Cloud Composer, Dataplex, Git
Responsibilities
Design and optimize ETL/ELT pipelines on Google Cloud Platform; Implement and manage orchestration workflows via Apache Airflow and Cloud Composer; Develop efficient data models using BigQuery; Ensure data quality, security, and governance through Dataplex; Write complex SQL queries for data analysis and transformation; Develop software components and automations in Python; Collaborate with Data Analysts, Data Scientists, and business stakeholders to translate requirements into scalable data solutions; Monitor and optimize cloud platform performance, costs, and reliability.
