Data Scientist

Primary Purpose

We are seeking a Data Integration Engineer to design and build secure, scalable data pipelines for our next-generation Air Traffic Management (ATM) platform. In this role, you'll leverage modern cloud and data technologies (e.g., AWS, Databricks) to enable real-time, data-driven decision-making for safer and more efficient airspace operations. Bonus points for familiarity with AI/Agentic AI or aviation data standards!

Key Responsibilities

Design & Development: Build robust batch and streaming pipelines using AWS, Databricks, and distributed processing tools (Spark, Delta Lake).

Data Optimization: Ensure high-performance processing, transformation, and storage with a focus on security, governance, and cost-efficiency.

Cross-Functional Collaboration: Partner with data scientists, engineers, and aviation experts to support AI-ready architectures and advanced analytics.

Resilience & Observability: Implement monitoring, automation, and fault-tolerant designs for mission-critical systems.

Documentation & Innovation: Maintain clear technical docs and contribute to continuous improvement of data architecture.

Core Qualifications

Technical Expertise:

• Strong hands-on experience with AWS data services (e.g., Glue, Kinesis, Redshift, S3).
• Proficiency in Python/Scala and distributed frameworks like Spark.
• Solid SQL, data modeling, and ETL/ELT skills.
• Experience building scalable pipelines (batch/real-time).

Operational Excellence:

• Knowledge of data security, governance, and compliance (e.g., GDPR, aviation regulations).
• Ability to troubleshoot and optimize for performance vs. cost trade-offs.

Preferred Qualifications

Nice-to-Have:

• Experience with Databricks, Delta Lake, and medallion architecture.
• Exposure to AI/GenAI (e.g., LLMs, agent-based systems) or aviation data (ADS-B, ARINC 424).
• AWS Certifications (Data Analytics, Big Data, or ML Specialty).
• Background in high-volume, real-time systems (e.g., IoT, telemetry).