Data Engineer

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 strong 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 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.