Data Engineering Architect - Data Engineer
Lead the design and delivery of data pipelines and ETL/ELT processes that support the Client-Facing Analytics (ACIA) reporting and analytical capabilities.
Architect, develop and optimise data models, transformations, and pipeline solutions scaling to multi-terabyte datasets in Databricks, using Python, Spark, and SQL.
Tune Spark performance across memory management, caching strategies, and cluster resource optimisation; manage Databricks cluster configuration for performance and cost efficiency.
Partner with the Lead and stakeholders to translate business requirements into scalable, secure, production-ready solutions aligned to corporate design and layered architecture standards.
Drive engineering standards and best practice across Git/GitHub workflows, CI/CD pipelines, testing, and modern web application deployment.
Own end-to-end module delivery with minimal supervision,



identifying and mitigating technical risks early and escalating dependencies and blockers through the agreed governance model.
Ensure data quality, lineage, and observability across pipelines, addressing issues identified through monitoring and reviews.
Apply Git/GitHub workflows and CI/CD practices to data engineering deliverables; mentor junior engineers and maintain up-to-date technical and operational documentation
Champion the adoption of AI-assisted development practices (including vibe-coding) within the team to accelerate delivery without compromising quality.
Location of Work:
Bangalore India (on-site + remote)
In office expectations: 2-3 days per week
Working Hours: 12:00-20:00 IST

📌 Senior Data Engineer (Bengaluru)
🏢 TuTeck Technologies
📍 Bengaluru