Senior Data Engineer
Role details
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Tech stack
Requirements
We are seeking a Senior Data Engineer (5+ years' experience) who can operate at the intersection of solution architecture and hands-on development . This role requires an individual who can design scalable data architectures while actively building and maintaining production-grade data pipelines . The core purpose is to architect, build, and optimize robust data platforms and pipelines that enable advanced analytics, business intelligence, and data-driven decision-making across the organization. Your key responsibilities - Architect and Design scalable, reliable, and cost-effective data platforms and pipelines aligned with business needs - Develop and implement high-quality data pipelines to process large-scale structured and unstructured data - Own end-to-end data lifecycle , including ingestion, transformation, storage, and consumption layers - Establish data architecture standards , best practices, and reusable frameworks - Optimize performance and cost of data systems across cloud platforms - Ensure data quality, governance, security, and compliance across all data assets - Provide technical leadership and guidance to junior engineers and collaborate with cross-functional teams - Partner with stakeholders to translate business requirements into scalable technical solutions - Troubleshoot production issues and ensure high availability and reliability of data systems Skills and attributes for success - Strong Engineering & Architectural Mindset : Ability to design scalable data solutions while staying hands-on with implementation - Technical Depth in Python : Expertise in writing clean, modular, and production-ready code - Modern Data Stack Expertise : Experience with platforms like Databricks, Spark, and distributed data processing systems - Data Architecture Knowledge : Strong understanding of...