Google Cloud Data Engineer

Job Description
Spinwise is seeking an experienced Google Cloud Data Engineer to design and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Dataform, Pub/Sub, Datastream, and Apache Airflow. A strong background in data warehousing, data modeling, and ETL/ELT processes is required
THE MAIN RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO

Design, develop, and maintain scalable data pipelines using GCP tools (BigQuery, Dataform, Pub/Sub, Datastream, Cloud Storage)

Build efficient ETL processes for data ingestion from databases, APIs, and streaming platforms using Airflow and Dataform

Implement data quality checks to ensure accuracy and consistency

Optimize pipelines and queries for performance and cost

Ensure compliance with data governance and security policies

Collaborate with data scientists, analysts, and stakeholders to meet data requirements

Thoroughly document data pipelines and processes

Utilize open-source databases like MySQL and PostgreSQL for Change Data Capture

REQUIREMENTS

Strong understanding of Google Cloud Platform services, particularly BigQuery, Dataform, Pub/Sub, and Datastream

Advanced SQL skills, including complex queries, stored procedures, and functions in BigQuery

Hands-on experience with Dataform for developing, testing, and deploying data pipelines

Solid knowledge of data warehousing principles and data modeling

Proven experience in developing and maintaining ETL/ELT processes

Proficiency in one or more programming languages, preferably Python

Experience implementing data quality checks

Excellent written and verbal communication skills

Strong analytical and problem-solving abilities

Key benefits
Additional Health Compensation
Career Opportunities Within the Organization
International Career Opportunities
Modern Working Conditions
Professional Development Opportunities
Remote Work possibility

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