- Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD).
- Technical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark.
- Orchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing.
- Infrastructure: Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures.
- Data Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.
- Software Excellence: Proven track record of driving best practices for code quality, testing, and software design in a data engineering context.
- Communication: Ability to adapt your communication style and use persuasion when delivering messages that relate to the wider firm business.
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