As a member of our data engineering team, you will help build and manage a next-generation cloud-based data platform. You will also be working collaboratively with our data scientists, analytics teams, and business product owners in a technology-driven organization and fast-paced environment:

• Responsible for the full lifecycle of data within the enterprise ecosystem.
• Design robust, scalable solutions and data pipelines to automate the ingestion, processing and delivery of all types of data: structured and unstructured, batch, and real-time streaming data.
• Evaluate, select, and implement new tools, frameworks and applications required to expand our platform capabilities.
• Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, and data quality metrics.

What are we requiring for this role?

• Proficiency writing complex SQL, with experience in multiple database platforms, and with SQL-based databases and data warehouses
• Familiar with Python and experience with bash shell scripting
• Experience with data warehousing architecture and implementation, including hands on experience developing ETL (Informatica or SSIS, etc.)
• Outstanding interpersonal communication and written skills, with the ability to work in a team environment.

What do we prefer for this role?

• Familiarity with cloud-based data engineering (AWS, GCP, or Azure)

• Familiarity with Agile software development practices and working on a Scrum team
• Hands-on experience with source control and versioning strategies using Git

• Experience applying DevOps practices to data engineering, including: automated testing, and deployment of database changes using a continuous integration pipeline.
• Relevant technology or platform certification (AWS Certified, Microsoft Certified)
• BS in Computer Science/Computer Engineering, or related discipline, or equivalent work experience