Senior Data Engineering professionals with strong experience across Data Engineering, SQL, ETL, Data Modeling, and BI, along with GCP exposure. This role requires both hands-on technical ownership and the ability to communicate effectively with business and technical stakeholders.

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Key Responsibilities

• Design, develop, and maintain scalable, enterprise-grade data pipelines
• Lead ETL architecture and implementation for complex datasets
• Define and enforce data modeling best practices (fact/dimension, performance optimization)
• Write and optimize advanced SQL for analytics and reporting
• Build and support BI dashboards and semantic layers
• Work with GCP data services (e.g., BigQuery, Cloud Storage, Dataflow)
• Partner with PwC stakeholders to translate business requirements into technical data solutions
• Mentor junior and mid-level team members
• Contribute to architecture discussions, data standards, and governance

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Required Skills & Experience

• 6–10+ years of experience in Data Engineering or Analytics Engineering
• Expert-level SQL
• Strong hands-on experience with ETL frameworks and orchestration
• Advanced knowledge of data modeling for analytics and BI
• Experience with BI tools and reporting platforms
• Exposure to or hands-on experience with Google Cloud Platform (GCP)
• Strong communication and stakeholder management skills
• Ability to own solutions end-to-end in a client-facing environment