Lead Data Engineer (Machine Learning)

at  ADP

ADP IS HIRING A LEAD DATA ENGINEER.

• Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day?
• Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging?
  Well, this may be the role for you. Ready to design what’s next?
  As a Lead Data Engineer, you will be responsible for overseeing the design, development, and implementation of data pipelines, ETL processes, and data infrastructure. You will lead a team of data engineers to ensure the efficient flow of data from various sources to support business intelligence, analytics, and machine learning initiatives.
  To be successful in this role, you must know how to create functional, maintainable, and scalable data pipelines. You have real-world experience solving business problems and thrive in a fast-paced, Agile environment where you can quickly change direction when needed. You are happy to do hands-on coding and development in Python alongside a team of coders. Your experience allows you to act as a mentor to junior developers. Our best leaders are great communicators and passionate creators who stay current on the latest technologies. They’re always looking for new ways to provide more business value and return on investment while growing their careers.
  Like what you see? Apply now!

TO SUCCEED IN THIS ROLE:

• You’ll have a bachelor’s degree OR equivalent.
• Prior experience that would give you extra comfort in the role includes:
• Production grade experience in designing and implementing data pipelines using tools like Databricks (Spark), Delta Lake and similar technologies.
• Proficiency in programming languages such as Python or Scala for data processing.
• Strong understanding of relational and NoSQL databases, data modeling, and schema design.
• Experience with AWS Data services like RDS, Kinesis, EMR, Glue etc.,
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
• Leadership experience in guiding a team of data engineers towards project success.
• Payments experience is a plus.