Key skills
PythonGoSQLETLELTData EngineeringData WarehousingAnalyticsLookerBIRedshiftAWSS3RDSPostgresSaaSProject Management
About this role
Thought Industries is a startup in the Online Learning space, and they are seeking a Senior Data Engineer to enhance their SaaS Learning Management Platform. The role involves building out reporting and analytics, collaborating with cross-functional teams, and driving operational excellence in data engineering.
Responsibilities:
- Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
- Evaluate existing tech stack, ETL and data modeling and advise on optimizations
- Collaborate in a cross-functional organization with Product Managers, Software Engineers, and Infrastructure to understand data needs and deliver on those needs
- Drive the design, building, and launching of new data models and data pipelines in production
- Manage development of data resources and support new product launches
- Drive data quality across our product and related business areas
- Manage the delivery of high impact dashboards and data visualizations
- Define and manage SLA’s for all data sets and processes running in production
Requirements:
- 3-5 years of experience in Data Engineering, BI, or Data Warehousing
- Capable of completing assigned projects with a high degree of autonomy
- Data architecture experience
- Hands-on experience with AWS services (S3, Redshift, RDS Postgres)
- ETL/ELT
- Data modeling/warehouse design
- Experience in SQL or similar languages and development experience in at least one scripting language (Python, Go, etc.)
- BA/BS in Computer Science, Math, Physics, or other technical fields
- Experience with data visualization tools (e.g. Looker)
- Data governance and Data lineage
- RDS Postgres