Data Engineer (Full-Time)
Role summary
A Data Engineer is needed to build data solutions for advanced analytics and experimentation. The role involves cleaning, transforming, and aggregating data, managing database systems, writing complex queries, scaling systems, and implementing disaster recovery. Requires deep knowledge of Big-Data technologies like Hadoop and Spark, strong programming skills in Python, Java, SQL, and Scala, and familiarity with advanced analytics tools such as Anaconda and Spark for machine learning. Excellent collaboration and communication skills are essential for working with teams and clients.
Role: Data Engineer
Location: Remote,
Full-Time Only
Where you’re headed
Laying the groundwork for data analysis and experimentation, you’ll guide clients through the digital landscape with a sharp eye on what’s important for them. You’ll clean, transform, and aggregate data; compile and install database systems; write complex queries; scale to multiple machines; and put disaster-recovery systems in place.
Where you’ve been
You have an advanced degree in computer science (or the equivalent) and a passion for big-data technologies.
Job Description:
- Hands-on experience in building data solutions for advanced analytics
- Deep knowledge of Big-Data technologies, such as Hadoop and Spark
- Solid programming skills in Python, Java, SQL Querying, and Scala
- Familiarity with advanced-analytics tools, such as Anaconda or Spark for machine learning
- Excellent collaboration and communication skills-with teams and clients alike
- Intellectual curiosity and a willingness to work outside your comfort zone