Senior Data Engineer

Job Description

Role As a Senior Data Engineer, you will: Lead the scoping, design and implementation of complex features Lead and push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Mentor junior software engineers and teammates Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building features Collaborate across teams with exceptional peers who are passionate about what they do All about you / Ideal Candidate Qualifications 3+ years of data engineering experience in an agile production environment Experience leading the design and implementation of complex features Experience leading a large project and working with other data and software engineers Strong technologist eager to learn new technologies and frameworks. The following is a plus: oProficiency in using Python or Scala, Spark, Hadoop platforms tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products platforms oExperience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting oExperience with SQL, Multi-threading, Message Queuing Distributed Systems. oKnowledge of Splunk or other alerting and monitoring solutions.