Data Engineer
Listed on 2026-08-07
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Software Development
Data Engineering
Lead Data Engineer with 8–10+ years of experience, focusing on Databricks and Lakehouse architecture. Drives design and optimization of data pipelines, builds scalable solutions, and supports analytics and AI initiatives. Provides mentorship and strategic guidance to leadership.
Key Responsibilities:Design and optimize data pipelines using Databricks, PySpark, and Delta Lake
Build scalable data solutions for enterprise analytics and AI
Support Power BI reporting and analytics initiatives
Develop and maintain ETL/ELT pipelines and Lakehouse architectures
Implement Medallion Architecture (Bronze/Silver/Gold)
Mentor data engineers and foster best practices
Provide strategic and technical guidance to leadership
Engage stakeholders and communicate technical concepts
Lead technical initiatives and drive platform evolution
Ensure data quality and governance across the platform
8–10+ years of Data Engineering experience
Strong hands‑on experience with Databricks, PySpark, Spark, SQL, and Delta Lake
Experience building and optimizing ETL/ELT pipelines and Lakehouse architectures
Understanding of Medallion Architecture (Bronze/Silver/Gold)
Experience supporting Power BI datasets and reporting solutions
Proven ability to mentor team members and lead technical initiatives
Strong communication and stakeholder engagement skills
You have 8+ years building Databricks pipelines. Experienced in Medallion Architecture and Delta Lake governance. Skilled at mentoring engineers and guiding leadership strategies
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