Data Engineer - Remote

Overview

We are looking for an accomplished Data Engineer to join our quickly growing Analytics team. This role will be responsible for expanding and improving our data and data pipeline architecture, as well as optimizing data flow and MDM for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

In Short

• Design, develop, and operate large scale data pipelines to support internal and external consumers
• Improve and automate internal processes
• Integrate data sources to meet business requirements
• Write robust, maintainable, well documented code

Requirements

• 2-4 years professional Data Engineering and Data warehousing experience
• Extremely strong implementation experience in Python, Parquet, Spark, Azure Databricks, Delta Lake, Databricks Data Warehouse
• SQL development knowledge – Stored procedures, triggers, jobs, indexes, partitioning, pruning etc.
• Be able to write/debug complex SQL queries
• ETL/ELT and Data-warehousing techniques and best practices
• Experience building, maintaining, and scaling ETL/ELT processes and infrastructure
• Implementation experience with various data modelling techniques
• Implementation experience working with a BI visualization tool (Sisense is a plus)
• Experience with CI/CD tools (Preferred Gitlab, Jenkins)
• Experience with cloud infrastructure (Azure strongly preferred)

Benefits

• Experience working in a fast-paced product environment
• Strong communication, negotiating and estimating skills
• Be a team player and should be able to collaborate well