Responsible for critical data ingestion (ingestion, processing)
Ensure data engineering standards are met, both in code and in ingested data
Collaborate with the Data Architect to define design decisions (focusing on scalability, performance, cost, and security)
Guide and develop the data engineering team (code reviews, mentoring, defining best practices)
Work with the product team on prioritization and roadmap development
Lead critical projects
Requirements
Strong expertise in large-scale data processing
Advanced knowledge of Spark, Python and/or Scala
Experience with orchestrators, preferably Apache Airflow
Advanced knowledge of Python
Experience with cloud platforms (preferably AWS)
Familiarity with software development and data engineering best practices, version control, and CI/CD
Tech Stack
Airflow
Apache
AWS
Cloud
Python
Scala
Spark
Benefits
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