Data Engineer, Vapi

Job Summary We are seeking a highly experienced Senior Data Engineer with 8+ years of hands-on experience in modern data engineering, specializing in Google Cloud data platforms. The ideal candidate will have strong expertise in building and managing scalable data lakes, designing robust ETL/ELT pipelines, and leading client-facing data initiatives. Experience with Informatica ETL tools is a strong advantage.This role requires both deep technical capability and leadership skills to manage client interactions, troubleshoot complex data issues, make architectural decisions, and build a high-performing data engineering team over time.• Key Responsibilities • Design, develop, and maintain scalable data pipelines using Google Cloud data services.• Architect and manage enterprise-grade data lakes and data platforms. • Work extensively with BigQuery, Dataproc, and Datastream for data ingestion, processing, and analytics. • Implement best practices for data modeling, partitioning, performance optimization, and cost management. • Lead end-to-end data engineering solutions from requirement gathering to production deployment.• Collaborate directly with client teams to understand business requirements, diagnose issues, and provide effective solutions. • Make critical technical decisions for data architecture, performance tuning, and issue resolution. • Mentor junior engineers and gradually build and lead a strongdata engineering team.• Ensure data quality, reliability, governance, and security standards are maintained. • Provide support for ETL processes, with exposure to Informatica being an added advantage. • Required Skills&Experience• 8+ years of experience in Data Engineering and Data Platform development. • Strong hands-on experience with: Google BigQuery Google Dataproc Google Datastream • Solid understanding of Data Lake architecture and modern data technologies. • Expertise in designing ETL/ELT pipelines andlarge-scale data processing.• Strong SQL and data modeling skills. • Experience handling client communications and technical issue resolution. • Proven ability to take ownership and make independent technical decisions. Preferred Skills • Experience with Informatica ETL tool. • Experience in performance optimization and cost optimization on Google Cloud.• Leadership&Soft Skills• Excellent problem-solving and analytical skills. • Strong communication skills with the ability to work with client stakeholders. • Capability to mentor, guide, and build a data engineering team. • Proactive mindset with ownership and accountability.