Overview
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is 1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.
If you want to learn more about us visit us at www.panasonic.aero. And for a full listing of open job opportunities go to www.panasonic.aero/join-us/.
The Position:
We are seeking a proven Data Engineering Leader to drive the design, development, and deployment of scalable, secure, and high-performance data solutions. This role will lead high-performing teams, architect cloud-native data platforms, and collaborate closely with business, AI/ML, and BI teams to deliver end-to-end data products that power innovation and strategic decision-making.
The position offers the opportunity to shape data architecture strategy, establish best practices in Lakehouse and streaming solutions, and enable advanced analytics and AI/ML at scale.
Responsibilities
What We’re Looking For:
Proven leadership in building and mentoring high-performing data engineering teams.
Expertise in architecting cloud-native data platforms on AWS, leveraging services such as EMR, EKS, Glue, Redshift, S3, Lambda, and SageMaker.
Strong background in Lakehouse architecture (Glue Catalog, Iceberg, Delta Lake) and distributed processing frameworks (Spark, Hive, Presto).
Experience with real-time streaming solutions (Kafka, Kinesis, Flink).
Proficiency in orchestrating complex data workflows with Apache Airflow.
Hands-on experience with GitLab CI/CD, Terraform, CloudFormation Templates, and Infrastructure-as-Code.
Strong understanding of MDM strategies and data governance best practices (GDPR, HIPAA, etc.).
Ability to design and develop middleware APIs (REST) to seamlessly integrate data pipelines with applications and analytics platforms.
Experience supporting AI/ML teams with feature engineering, training, and deployment pipelines using SageMaker.
Solid knowledge of SQL & NoSQL databases (Redshift, DynamoDB, PostgreSQL, Elasticsearch).
Familiarity with BI enablement and data modeling for visualization platforms like Amazon QuickSight.
In-depth knowledge of security best practices in AWS-based data architectures.
Demonstrated success in driving AI/ML initiatives from ideation to production.
Contribution to Society Fairness & Honesty Cooperation & Team Spirit Untiring Effort for Improvement Courtesy & Humility Adaptability Gratitude
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
Qualifications
Educational Background:
Bachelor’s degree or higher in Computer Science, Data Engineering, Aerospace Engineering, or a related field.
Advanced degrees (Master’s/PhD) in Data Science or AI/ML are a plus.
REQ-145778","qualifications":"Educational Background:
Bachelor’s degree or higher in Computer Science, Data Engineering, Aerospace Engineering, or a related field.
Advanced degrees (Master’s/PhD) in Data Science or AI/ML are a plus.
