Data Engineering PositionBachelor-level degree in engineering, information technology or computer scienceMust have 3 to 5 years of Data Engineering professional hands on work experience with a strong background in Python, Spark, Pyspark and Scala.Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance, exposure to NoSQL implementation.Programming experience in Scala, Python, shell scripting and automationHadoop Certification or Spark CertificationExperience with modern workflow/orchestration toolsExperience working with PostgreSQL, Teradata and/or other DBMS platformsExperience with BI tools such as Tableau or Qlik to create visualizations and dashboards for various data quality metricsExperience deploying Data Science Solutions in a MapR and/or Cloud (e.g. AWS) environment a plus.Exposure to Solr, ELK stackDetail oriented with strong analytical and problem solving skillsCommunications skills (both verbal & written)Work on sprint team in agile, rapid development and deployment environment.Participate in detailed technical design, development, implementation and support of Big Data applications using existing and emerging technology platformsDevelop understanding of business processes, objectives, and solution requirements.Participate in project work groups with subject matter experts and stakeholders to understand data specific needsDemonstrable experience engineering scalable data processing pipelines.