Experience : 10+ years.Location : Bangalore.Job Description :- Lead the design, development, and implementation of scalable data engineering solutions using Databricks, ensuring high-quality and reliable data pipelines for enterprise and semiconductor/manufacturing use cases.- Provide technical leadership to a team of data engineers, guide day-to-day development activities, conduct code/design reviews, resolve technical challenges, and ensure adherence to engineering best practices.- Demonstrate strong hands-on expertise in SQL, including complex joins, CTEs, subqueries, window functions, aggregations, data transformation, performance tuning, and troubleshooting of complex queries.- Strong working knowledge of Databricks, PySpark, Delta Lake, notebooks, workflows/jobs, data transformation, and ETL/ELT concepts.- Should be comfortable remaining hands-on while leading the team.- Act as a key technical point of contact for client stakeholders.- Independently participate in discussions with business and technical teams, understand their requirements, ask the right questions, and provide clear technical perspectives and solutions.- Work closely with business stakeholders to understand data requirements and translate business problems into technical requirements, data models, transformation logic,



and actionable development tasks for the engineering team.- Excellent verbal and written communication skills with the confidence to lead discussions with senior client stakeholders.- Should be able to explain complex technical concepts in a easy and business-friendly manner and confidently challenge or clarify requirements when required.- Experience working with semiconductor, manufacturing, supply chain, equipment, production, quality, or other industrial data is preferred.- Domain Advantage : Exposure to high-volume, complex, and time-series manufacturing datasets will be an advantage.- Ensure data quality, reliability, scalability, and performance across pipelines.- Troubleshoot data issues, identify root causes, and work with relevant teams to implement sustainable solutions.- Take end-to-end ownership of assigned data engineering initiatives, including requirement clarification, technical design, task allocation, development oversight, stakeholder communication, delivery tracking, and production support.- Team Management : Should be capable of managing multiple priorities and coordinating a sizeable engineering team. (ref:hirist.tech)

📌 GyanSys - Lead Databricks Developer (Bengaluru)
🏢 GyanSys Infotech
📍 Bengaluru