Data Engineer (Baddi)

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 solid data 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 and large-scale data processing.
• Strong SQL Apply on Kit Job: kitjob.in/job/4ms8mp