Senior Associate - GCP Data Engineer

About this role

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Skills you'll use

What you'll do

• Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions
• Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow
• Implement automated data quality checks and monitoring across all data workflows
• Optimize pipeline performance and cost efficiency through proper resource allocation and scheduling
• Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL
• Design optimal data models, partitioning strategies, and clustering for analytical workloads
• Manage data lifecycle policies and implement automated archival and retention strategies
• Ensure data security, encryption, and access control across all storage layers
• Build and optimize BigQuery datasets for analytics and reporting use cases
• Create and maintain dimensional models and fact tables for business intelligence

Who can apply

• Technical Skills
• GCP Services: 2+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions
• Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development
• Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts
• Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases
• Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools
• Professional Experience
• Bachelor's degree in computer science, Engineering, or related field
• 2+ years of experience in data engineering or related roles
• 2+ years of specific experience with Google Cloud Platform

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