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Strong brand, common mid-level data engineer title, and broad technical requirements create high applicant competition.
Core data engineering skills (Spark, Kafka, AWS, Databricks) transfer easily across industries, so sensitivity is low.
Explicit 3–7 years and many mandatory cloud, Spark, Databricks, Kafka, and Airflow skills make shortlisting strict.
Design, build, and maintain scalable, high-performance batch and streaming data pipelines using cloud-native platforms like Databricks and AWS services.
Ensure data quality, consistency, and security across data platforms supporting BI, analytics, and machine learning for FOX's digital ecosystem.
Collaborate with cross-functional agile teams, mentor junior engineers, and document technical designs and tests to deliver reliable data solutions.
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
3 to 7 years of experience in designing and building data engineering solutions and platforms.
Experience with Databricks or Snowflake for Lakehouse or Data Warehouse solutions, Apache Spark, Kafka or similar streaming technologies, AWS cloud services, and advanced SQL programming.
Experience with data engineering tools such as Fivetran, DBT, GitHub, Airflow, and CI/CD pipelines.
Mid to senior-level data engineer with proven expertise in distributed data processing and cloud-native data platforms.
Experienced in building scalable, real-time data ingestion and transformation pipelines enabling data-driven decisions in a digital entertainment context.
Strong operational focus on data quality, automation, performance tuning, and security with ability to mentor team members and communicate across technical and non-technical stakeholders.
