Description

You will design, build, and maintain enterprise-scale data engineering solutions on Google Cloud Platform (GCP), focusing on BigQuery, Dataflow, and Apache Beam.

This role is on-site.

Responsibilities

• Build scalable ETL/ELT pipelines using Dataflow, Apache Beam, BigQuery, and Cloud Composer.
• Design and optimize BigQuery data warehouses for large-scale analytics and reporting.
• Develop batch and real-time data pipelines using GCP-native services and Pub/Sub.
• Implement workflow orchestration using Apache Airflow and manage data models in Cloud Spanner.
• Monitor, troubleshoot, and optimize pipeline performance, reliability, and scalability.

Required Skills

• 8+ years of experience in Data Engineering, Big Data, and Cloud Data Platforms.
• Strong hands-on expertise with Google Cloud Platform (GCP) services.
• Proficiency in Python and SQL for data processing and querying.
• Experience with Apache Beam and Dataflow for large-scale data processing.
• Knowledge of CI/CD, DevOps practices, and version control systems like Git.
• Understanding of data modeling, performance tuning, and data integration.
• Bachelor's degree in a relevant field or equivalent experience.

Preferred Skills

• Experience with Cloud Spanner and distributed database concepts.
• Familiarity with Agile methodologies and cross-functional collaboration.

Key Skills

Education

Bachelor's degree