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Mid-level, popular Data Engineer role at a well-known media brand with broad cloud and pipeline requirements increases competition.
Core data engineering skills (Spark, Python, SQL, cloud architectures) are highly transferable across industries.
Explicit 3–7 years plus mandatory Databricks/Snowflake, PySpark, Kafka, and AWS experience raises shortlisting strictness.
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Design, develop, and maintain scalable, optimized batch and streaming data pipelines and cloud-based data platforms to support FOX's digital products.
Ensure data quality, consistency, security, and operational excellence by implementing monitoring, automation, and encryption techniques for millions of user data points.
Collaborate with agile teams and mentor junior engineers while producing technical documentation and supporting analytics for data-driven decision making.
Bachelor’s degree in Computer Science, Computer Engineering, or related field.
3 to 7 years of experience architecting, designing, and building data engineering solutions and platforms.
Proficiency in building optimized batch/streaming data pipelines using Databricks, Python/PySpark, Apache Spark or equivalent, and experience with AWS cloud services (S3, EMR, Lambda, Redshift, etc).
Experience with data warehousing (Lakehouse, Databricks, Snowflake), advanced SQL programming and tuning, and automated workflow orchestration (Airflow, Astronomer).
Experienced in building high-performance, low-latency, scalable data pipelines handling large and complex datasets in cloud-native environments.
Strong technical skills in distributed data processing, real-time stream processing (Kafka, Kinesis), and automation with CI/CD tools (GitHub Actions or Jenkins).
Comfortable collaborating across agile teams and translating business needs into efficient data solutions with a security and data quality focus.