Data Engineer / ETL Engineer - AGS 0527 SS#

We are seeking a skilled Data Engineer / ETL Engineer to design and build robust data pipelines supporting large-scale, data-intensive environments. This role focuses on ingesting, transforming, and managing diverse datasets including telemetry, sensor feeds, maintenance systems, and logistics data.

The ideal candidate will play a critical role in ensuring data quality, accessibility, and scalability for downstream analytics and operational decision-making.

Key Responsibilities

• Design and develop data ingestion pipelines for multiple data sources, including: *

• Telemetry data
• Sensor feeds
• Maintenance and operational systems
• Logistics and supply chain data
• Build and maintain ETL/ELT workflows for structured and unstructured data
• Normalize, cleanse, and validate large datasets to ensure data integrity
• Integrate data from various APIs and external systems
• Optimize data pipelines for performance, scalability, and reliability
• Work with data lakes and distributed data platforms
• Collaborate with data scientists, analysts, and engineering teams
• Implement best practices for data governance and security

Do you have experience in Systems integration?, * Strong experience with Apache Spark for large-scale data processing

• Hands-on experience with Apache Kafka or similar streaming platforms
• Proficiency in SQL and NoSQL databases
• Experience designing and working with data lakes
• Experience with API integration and data ingestion frameworks
• Strong understanding of ETL/ELT processes and data modelling
• Ability to work with both structured and unstructured data

Preferred / Nice-to-Have

• Experience with real-time data processing and streaming architectures
• Exposure to sensor or telemetry data environments
• Knowledge of cloud-based data platforms (AWS, Azure, GCP)
• Familiarity with data governance, security, and compliance practices
• Experience in aerospace, defence, or other regulated industries

Work Environment

• Collaborative, cross-functional data and engineering teams
• High-impact, data-driven programs
• Opportunity to work with modern data architectures and large-scale systems