Senior Data Engineer

Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment

Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads

Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs

Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability

Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows

Choose the best tools/services/resources to build robust data pipelines

Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights

Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency

Continuously improve engineering processes, balancing speed, quality, and business impact

Coach, mentor, and provide technical guidance to junior engineers, fostering a culture of continuous learning and development

• Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions