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Apply fluency in SQL to analyze and model complex linear viewership data
Develop data infrastructure processing and serving software, primarily written in Python
Build ETL/ELT streaming and batch pipelines on big data platforms and frameworks, including Snowflake, Spark, and Databricks
Orchestrating data engineering pipelines with Airflow
Apply Fluency with modern software development environments and tooling, e.g., Git, Jira, CircleCI (or similar CI/CD), Bazel
Collaborate with peers within her immediate team and across the larger engineering organization on activities that include distilling engineering designs from product requirements and data science
development of work plans
implementation, testing, productization, monitoring, and maintenance of big data infrastructure
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field, plus 5 years of experience
5 years of experience with Data Engineering
5 years of experience developing Production-Grade Software
5 years of experience with SQL
5 years of experience with Data Pipeline Orchestration
3 years of experience with Modern Engineering Stack/Tools
Must also have the authority to work permanently in the U.S.