Nowa
Senior Data Engineer (AWS)
180 - 200 PLN/ godz.B2B (netto)
SeniorFull-time·B2B
#338137·Dodano dziś·0
Źródło: nofluffjobs.comTech Stack / Keywords
Data engineeringAIAWSData pipelinesPythonSQLMicroservicesDevOpsStakeholder management
Wymagania
- 8+ years of experience in data engineering, solution architecture, or AI/ML engineering roles
- Strong hands-on experience with AWS data services and cloud-native architectures
- Proven experience building production-grade data pipelines and ML systems
- Advanced Python and SQL skills
- Experience with AI-assisted development tools (e.g. Codex, VS Code AI tooling)
- Knowledge of APIs, microservices, distributed systems, and DevOps practices
- Experience designing or working with AI agents or automation workflows is a strong plus
- Ability to work across technical and business teams in complex environments
- Strong communication and stakeholder management skills
Obowiązki
- Design and deliver cloud-native data and AI solutions on AWS across ingestion, storage, processing, orchestration, serving, and monitoring layers
- Build and optimize scalable data pipelines using AWS services (S3, Glue, Lambda, Redshift, Lake Formation, IAM, ECS/EKS) and tools like dbt and ETLeap
- Define reusable architecture patterns for batch, streaming, and near-real-time data processing
- Develop and operationalize ML workflows, including feature engineering, training support, deployment, monitoring, and lifecycle management
- Design and configure AI agents and reusable agent skills for data processing, analytics, quality checks, and automation use cases
- Use AI-assisted development tools (e.g. VS Code, Codex) to improve delivery speed and standardize engineering practices
- Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable technical solutions
- Design APIs, microservices, and data services enabling ML and data products at scale
- Ensure alignment with data platform principles (data mesh, self-service, governance, enterprise architecture standards)
- Improve system performance, scalability, reliability, and cost efficiency across data and ML platforms
- Implement best practices in software engineering (CI/CD, IaC, testing, version control, documentation)
- Establish and maintain data governance capabilities (data quality, metadata, lineage, cataloging, compliance)
- Apply containerization and distributed system patterns (Docker, Kubernetes)
- Mentor engineers and promote reusable engineering and AI agent patterns
- Troubleshoot complex issues across data pipelines, cloud infrastructure, and ML systems
- Stay current with AI, LLMs, agent frameworks, and AWS technologies
Link Group
160 aktywnych ofert