Overview
Who We Are: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:
As a Senior Staff Software Engineer, you will collaborate closely with the data engineering team and work on developing and maintaining distributed data infrastructure, ETL/ELT pipelines, data applications, and integration solutions. You will get a chance to work with brilliant minds in the industry, work on complex use cases enabling steep learning curve, and build products from scratch while modernizing various applications.
Responsibilities
- Design, build, and maintain event-driven distributed data infrastructure and data applications.
- Develop and optimize robust ETL/ELT pipelines to support batch and real-time data workflows.
- Integrate and normalize diverse data sources, ensuring high standards of data quality, accuracy, and consistency.
- Lead the design and implementation of real-time data processing systems for analytics, operational intelligence, and reporting use cases.
- Collaborate cross-functionally with data scientists, ML engineers, and product teams to design end-to-end data solutions.
- Establish best practices for data engineering, including testing, monitoring, deployment automation, and observability.
- Mentor engineers and contribute to architectural decisions, technical strategy, and roadmap planning for the data platform.
Qualifications
- 1016 years of proven experience in software engineering, with a focus on data infrastructure and engineering.
- Expertise in object-oriented programming, design patterns, algorithm optimization, and problem-solving from first principles.
- Strong experience working with unstructured log data, real-time data processing, distributed computing frameworks, and streaming data frameworks.
- Proficient in Python; experience with Java or Scala is a plus.
- Deep expertise in data engineering technologies, including ETL/ELT pipelines, data integration, and operational monitoring.
- Experience drafting proofs of concept (POCs) and collaborating cross-functionally to develop prototypes and production-ready solutions.
- Proficiency with AWS services (Lake, Glue, EMR) and Airflow
REQ-153215
