Data Engineer

Responsibilities

  • Lead ETL and data migration activities

  • Design and create ETL processes for continuous data integration

  • Analyze source and target data models and accurately identify differences and similarities

  • Perform Data Profiling, Quality Assessment, and Data Cleansing

  • Continually improve the process of data conversion, migration, and integration from legacy systems

  • Share knowledge and prepare high quality documentation

  • Close attention to detail to ensure integrity and quality of data processes

Minimum Qualifications

Bachelor's degree in computer science, information systems, or related field and experience managing, process, and protecting data. Experience with common data and ETL tools and techniques. Proficient with programming languages including SQL, PL/SQL, and Python. Experience with data modeling. Track record of acting with integrity, taking pride in your work, seeking to excel, self-motivated, able to maintain a positive and service-oriented attitude, curious and adaptable, and communicating effectively.

Preferred Qualifications

  • Experience with Customer Relationship Management (CRM) systems like Salesforce

  • Experience with IT Service Management (ITSM) systems like ServiceNow

  • Experience with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data.

  • Experience with version control systems, issue tracking, and build systems

  • Prior experience and knowledge related to information security

  • Experience with relational and NoSQL databases

  • Knowledge of the software development lifecycle