Lead Data Engineer with ML

About this kind of role

What a Lead Data Engineer with ML usually does. The employer's own details are in the listing.

Typically does: A Lead Data Engineer With Machine Learning focuses on designing, building, and maintaining data infrastructure to support machine learning initiatives. This role involves developing and optimizing data pipelines, ensuring data quality, and collaborating with data scientists to deploy machine learning models. They often lead a team of data engineers, providing technical guidance and mentoring. Responsibilities include data modeling, database design, and implementing scalable data solutions.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with big data technologies like Spark and Hadoop are commonly required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to lead and mentor a team typically excel in this role.