About the role
What You’ll Be Doing:● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.
Qualifications:● Bachelor's degree in Engineering, Computer Science, or relevant field.● 5+ years of experience in a Data Engineer role.● 3+ years experience with Apache Spark and solid understanding of the fundamentals.● Deep understanding of Big Data concepts and distributed systems.● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.● Cloud Experience with DataBricks, Data lakes, Lake houses.● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.