• Bachelor's degree, OR 3+ years of relevant work experience
• Master's or bachelor's degree in computer science or related fields required
• Demonstrated ability in delivering high-quality, large-scale, enterprise-class data applications
• Expertise in big data engineering with knowledge of Hadoop, Apache Spark, Python and SQL
• Proficiency in creating and managing large-scale data pipelines and ETL processes
• Experience developing and maintaining Spark pipelines and productizing AI/ML models
• Proficient in technologies like Kafka, Redis, Flink
• Skilled in Unix or Python scripting and scheduling tools like Airflow and Control‑M

Experience with data storage technologies and databases (e.g. MySQL, DB2, MS SQL)