General information

Entity

Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated €31.3 billion in revenue in 2025. Safran holds, either independently or through partnerships, leading global or European positions in its markets.

Safran was ranked second in the Aerospace & Defense sector in TIME magazine's ""World's Best Companies 2025"" ranking.

As the world leader in aeronautical electrical systems, Safran Electrical & Power is a key player in the electrification of aircraft equipment and electric and hybrid propulsion. With expertise across the onboard energy chain, the company designs and delivers innovative, optimized and modular architectures and solutions.
  

Reference number

2025-166711  

Job details

Domain

Research, design and development

Job field / Job profile

Software - Software for product information systems

Job title

Senior Data Engineer - AWS

Employment type

Permanent

Part time / Full time

Full-time

Job description

Core Responsibilities
• Architect and implement scalable data lake and lakehouse solutions on AWS for telemetry, analytics, and AI workloads.
• Design and manage secure data ingestion pipelines from edge devices and external systems into AWS S3 and structured storage.
• Develop and optimize ETL/ELT workflows using AWS Glue, Lambda, and Kinesis for structured, semi-structured, and unstructured data.
• Integrate LLM-based smart assistants with vector databases for contextual search and retrieval.
• Implement data partitioning, versioning, and metadata management strategies for high-volume datasets.
• Ensure data governance, audit logging, and compliance using Lake Formation, CloudTrail, and encryption mechanisms.
• Collaborate with platform, operations, and domain teams to curate domain-specific corpora and manage ingestion/index refresh jobs.

Candidate skills & requirements

Required Technical Skills
• AWS Core Services: S3, Lambda, DynamoDB, RDS (PostgreSQL), API Gateway, CloudFormation, CloudWatch.
• Data Engineering Tools: AWS Glue, Athena, Redshift, Kinesis, EventBridge, SQS, Lake Formation.
• Security & Compliance: SSE-KMS, IAM, VPC endpoints, S3 Object Lock, CloudTrail, encryption policies.
• IoT Integration: AWS IoT Core, Device Defender, fleet provisioning templates, telemetry routing.
• Containerization & Orchestration: Amazon EKS, Kubernetes, Argo CD.
• LLM & AI Pipelines: SageMaker, RAG architecture, prompt/response logging, evaluation metrics.
• Data Modeling & Cataloging: Data lake schema design, metadata tagging, data quality management.
________________________________________
Preferred Experience
• Building data hubs for IoT platforms and predictive maintenance systems.
• Working with equipment metadata and technical documentation for industrial workflows.
• Experience with multi-modal data (structured logs, telemetry, vector embeddings).
• Familiarity with Generative AI integration in engineering or manufacturing contexts.
• Exposure to Infrastructure-as-Code (IaC) tools like Terraform, AIAC CLI for AWS provisioning.

Job location

Job location

Asia, India

City (-ies)

Applicant criteria

Minimum education level achieved

Bachelor's Degree

Minimum experience level required

More than 5 years

Requesting party

Number of position(s)

1