Principal Engineer Software

Overview

Principal Engineer (Data) provides technical leadership for enterprise data platforms and analytics solutions across design, development, modernization, and operations.

What you'll do

• Analyze technical feasibility and evaluate data/analytics solutions against business, operational, and regulatory needs.
• Design and implement scalable data engineering solutions like pipelines, data models, integrations, and analytics-ready products.
• Lead data architecture and ETL/ELT work including code reviews, performance tuning, and production support.
• Modernize legacy data and reporting systems by migrating from traditional ETL/reporting tools to cloud platforms.
• Design and oversee cloud data pipelines using Python, Spark, SQL, and orchestration/transformation tools.
• Partner on technical roadmap execution for data engineering, analytics enablement, modernization, quality, and automation.
• Mentor engineers and support AI/ML enablement through reliable, governed, feature-ready data assets.

What you'll need

• 12+ years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform development.
• Bachelor’s degree in computer science, information systems, data engineering, analytics, engineering, or equivalent training/experience.
• Strong experience with Python, SQL, distributed data processing, and ETL/ELT development; Spark experience preferred.
• Experience with cloud-based data platforms/services, preferably AWS, including development, deployment, monitoring, and operational support.
• Strong understanding of data modeling, data warehousing, data quality, metadata management, data lineage, and performance optimization.
• Working knowledge of AI/ML concepts and data engineering practices for advanced analytics and model-ready datasets.
• Deep understanding of software development and data engineering practices, including version control, testing, CI/CD, and operational monitoring.

Details

• Location: KA Bangalore.