Description

Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform. Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL. Automate data processing and orchestration using GCP Dataflow and other GCP services. Create dashboards and reports using GCP Looker Studio to provide business value. Translate stakeholder requirements into technical solutions through collaboration with data scientists and analysts. Conduct data analysis to identify trends, patterns, and insights for data-driven decision-making.

Responsibilities

• Design and manage scalable data architectures and pipelines on GCP.
• Build and optimize complex data models and ETL processes.
• Automate data processing using GCP Dataflow and related services.
• Create business dashboards and reports using Looker Studio.
• Collaborate with data scientists to translate requirements into technical solutions.

Required Skills

• 10+ years of hands-on experience in data engineering, data modeling, and analytics.
• Expertise in Google Cloud Platform (GCP).
• Proficiency in BigQuery and LookML.
• Advanced Python and PySpark skills.
• Strong SQL for data processing and analysis.
• Bachelor's degree.

Preferred Skills

• Experience conducting data analysis to identify trends and patterns.

Key Skills

Education

Bachelor's degree