Description

You will architect and deploy scalable data warehouses and streaming pipelines on Google Cloud Platform.

This role is remote.

Responsibilities

• Design and deploy data systems and data warehouses using Google BigQuery.
• Develop high-volume batch processing and real-time streaming pipelines.
• Implement dimensional data modeling and wide de-normalized data marts.
• Manage data computing, storage, and security components on GCP.
• Build and maintain elastic, high-availability pipelines for digital marketing or e-commerce systems.

Required Skills

• 10+ years of experience as a data warehouse engineer or architect.
• Expertise in Python and PySpark/Spark.
• Deep experience with GCP services including BigQuery, Dataflow, and Apache Beam.
• Hands-on experience with Apache Kafka for real-time streaming.
• Proficiency in pipeline orchestration using Airflow.
• Advanced SQL skills and experience with Big Data systems like Hadoop and Hive.
• Experience with infrastructure as code using Terraform and CI/CD via GitHub Actions.
• Strong knowledge of version control using Git.
• Experience with data governance and data security protocols.

Preferred Skills

• Experience with enterprise-scale Customer Data Platforms (CDP).
• Knowledge of GFO and Google Analytics.

Key Skills

Education

Any Graduate