Senior Data Engineer - Python/SQL in Bangalore, भारत

About the Role : We are seeking a Senior Data Engineer (Data Engineer III) who is passionate about building modern data platforms and solving complex engineering challenges at scale. In this role, you will own data products end-to-end, from understanding business problems and designing scalable architectures to building production-grade pipelines that support analytics, AI, and operational https://jobeax.com/link/YXjYtOs3G0N2DXpB Product Development : - Own data products from design through production.- Design, build, and maintain scalable data pipelines and data products using Databricks, Spark, Python, SQL, and AWS.- Develop robust batch and streaming pipelines aligned with modern Lakehouse architecture principles.- Build reusable ETL/ELT frameworks, curated datasets, and self-service data products for analytics, AI/ML, and operational reporting.- Optimise pipelines for performance, scalability, reliability, and cost efficiency.- Implement incremental processing, CDC, and metadata-driven engineering https://jobeax.com/link/MTCTOx8bvjzpV2UY Design and Architecture : - Partner with business stakeholders to understand requirements and translate them into scalable technical solutions.- Design end-to-end data architectures, reusable frameworks, and high-performance data models.- Evaluate architectural trade-offs and influence technical direction across the data platform.- Drive solution design from concept through production https://jobeax.com/link/ANvCNVIkd7A8bFUB Excellence : - Build production-grade solutions with a strong focus on quality, testing, observability, security, and reliability.- Implement automated data validation, monitoring, lineage, and operational best practices.- Write clean, maintainable code and contribute to reusable frameworks, CI/CD, DataOps practices, and code reviews.- Troubleshoot production issues and continuously improve platform performance and developer https://jobeax.com/link/aBDACRaWz0Nll2Fs Partnership : - Collaborate with business stakeholders, product owners, analysts, architects, and engineers to solve high-impact business problems.- Translate business requirements into scalable data products and trusted datasets.- Communicate technical concepts effectively to both technical and non-technical audiences.- Take end-to-end ownership of solutions from discovery and design to production https://jobeax.com/link/uEixzi7en1Zif4kY : - 14+ years of experience in Data Engineering, with experience delivering enterprise-scale data platforms.- Strong expertise in Databricks, Apache Spark (PySpark), Python, and SQL.- Hands-on experience building cloud-native data platforms on AWS.- Strong understanding of distributed data processing, Lakehouse architecture, ETL/ELT, and modern data engineering practices.- Experience designing scalable data models and optimising large-scale data pipelines.- Strong software engineering fundamentals, including Git, CI/CD, testing, and code quality.- Excellent communication skills with the ability to influence stakeholders and lead technical discussions. (ref:hirist.tech)