Data Engineer

Job Description: Build mission-critical software and architecture Laying the groundwork for data analysis and experimentation, you’ll guide clients through the digital landscape by cleaning, transforming, and aggregating data. You will be responsible for the end-to-end lifecycle of data solutions, from initial creation to production deployment. You’ll compile and install database systems, write complex queries, and implement disaster-recovery systems that scale across multiple machines. Requirements: • You have a degree in computer science (or the equivalent) and a passion for big-data technologies. • Have experience with both legacy and modernized data environments. • At least 4 years of post-degree experience • Hands-on experience in building end-to-end data solutions for advanced analytics. • A firm requirement for Python proficiency, along with Java, SQL, and Scala. • Deep knowledge of big-data technologies, specifically Hadoop and Spark. • Required expertise in Databricks or Snowflake for data warehousing and laking. • Familiarity with advanced-analytics tools, such as Anaconda or Spark for machine learning. • Intellectual curiosity and the ability to work outside your comfort zone in a client-facing environment.