Job
Description
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 fi eld. 10+ years of relevant and recent experience in a Data Engineer role. 5+ years recent 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 Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON. Skills: java,data infrastructure,sql,parquet,big data,databricks,relational databases,scala,postgres,data engineering,apache spark,delta tables,python,big data concepts,distributed systems,json,mysql,csv,postgresql Show more Show less
