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Key job responsibilities
Candidates for this position should have strong engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in the Ad tech space. Communicate effectively across all leadership levels verbally and in writing. Lead deep technical discussions with senior engineers, collaborating to solve challenging problems. You will be able to quickly grasp new systems and provide valuable consultation.
A day in the life
- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- 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)
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience operating large data warehouses or data lakes
- Experience in designing data models that supports structures and unstructured data
- Experience in gathering requirements and formulating business metrics for reporting
- Ability to deal with ambiguities and competing priorities.
- Prior experience in programming using Scala/Python/Java
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