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Safran · Bengaluru

# Senior Data Engineer - AWS

Bengaluru Senior individual contributor Data & Analytics 

Listed on Safran’s official careers site. Posted December 17, 2025. Check that it is still open and apply there.
[Apply on Safran’s careers site →](https://careers.safran-group.com/job/job-senior-data-engineer-aws_166711.aspx?LCID=1033)

[OpenNash Jobs](https://jobs.opennash.com/) / [Safran](https://jobs.opennash.com/companies/safran/) / Senior Data Engineer - AWS

## 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.

### 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.

## At a glance
- Posted by the employer: Dec 17, 2025
- First seen by OpenNash: Jul 31, 2026
- Last checked: Oct 19, 2026
- Listed for: 306 days
- Location: Bengaluru[Apply on Safran’s careers site →](https://careers.safran-group.com/job/job-senior-data-engineer-aws_166711.aspx?LCID=1033)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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