Direct Client Openings: 5 Employment Type: W2 Work Authorization: US Citizen / GC / H4 EAD only Location: Hybrid – New York / New Jersey area Travel: May require occasional travel Please send resume at ______________ Role Overview Client is seeking 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. ______________ 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 ______________ 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
Job Title
Lead ETL Developer