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Key job responsibilities
- Implement solutions for data storage, reporting, science and analytics.
- Incorporate big data solutions to enhance machine learning, analytics and reporting capabilities.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Setup internal dashboard tools for data visualization
- Work across teams to gather requirements for data logging, storing, transforming, and reporting, and build scalable solutions.
A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- 3+ years experience in Project Management and Product Management
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