Lead I - Data Engineering

As a Lead I Data Engineer at UST, you will play a key role in designing, implementing, and maintaining efficient data pipelines using tools like Databricks, PySpark, Python, SQL, and Apache Airflow. This position requires a minimum of 5 years of professional experience, with at least 3 years dedicated to hands-on work with these technologies and cloud platforms, preferably AWS. Strong communication skills and the ability to operate independently are critical. UST is a globally recognized digital transformation partner with more than 20 years of experience, collaborating with industry leaders to drive meaningful change through technology. You will work within a team that emphasizes innovation, agility, and deep domain expertise, from project inception to deployment. Your contributions will help ensure data reliability and performance, supporting UST's purpose-led approach to delivering future-proof solutions for clients across various sectors.