Description

Architect and implement large-scale data and analytics platforms on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design and implement data pipelines and architectures for batch and real-time processing.
• Extract, load, transform, clean, and validate data across distributed systems.
• Build and manage Big Data deployments leveraging GCP services.
• Implement automated pipeline orchestration using CI/CD models.
• Collaborate using Agile and Lean methodologies to meet customer needs.

Required Skills

• 10+ years of relevant experience in data or software engineering.
• 7+ years of application development experience on AWS, Azure, or GCP.
• 1+ years of direct experience with Google Cloud Platform.
• 3+ years of coding experience in Python and PySpark.
• Strong proficiency in SQL.
• Experience with BigQuery, Google Cloud Storage, PubSub, Data Fusion, Dataproc, and Airflow.
• Experience working with MapReduce or MPP systems.
• Bachelor's degree in Computer Science or equivalent.

Key Skills

Education

Bachelor's degree in Computer science