Job Information
Safran Senior Data Engineer - AWS in BENGALURU, India
Senior Data Engineer - AWS
Job details
General information
Entity
Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets.
Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking.
Safran Electrical & Power is one of the world's leaders in aircraft electrical systems. The company is a key player in equipment electrification and in the electric and hybrid propulsion sector. It has over 14,000 employees across 13 different countries.
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)
BENGALURU
Applicant criteria
Minimum education level achieved
Bachelor's Degree
Minimum experience level required
More than 5 years