Lead Data Engineer
Openkyber
Role Summary: Seeking a Tech Lead to lead a team of developers in designing, developing, and delivering scalable AI/Data solutions. The role involves technical leadership, solution architecture, mentoring, and hands-on development using modern cloud, AI, and data technologies.
Key Responsibilities
- Lead and mentor development teams.
- Design and review scalable application architectures.
- Drive software development, testing, deployment, and production readiness.
- Collaborate with business stakeholders and solution architects.
- Ensure code quality, performance, security, and governance standards.
- Manage technical delivery, estimates, and project planning.
- Evaluate and implement new technologies and best practices.
Required Skills
- Strong experience with Python, SQL, AWS, and Databricks.
- Expertise in AI/LLM technologies: RAG, Prompt Engineering, Agentic Workflows, Vector Databases, Bedrock.
- Experience with Databricks (Genie, Unity Catalog, Delta Lake, MLflow, Databricks SQL).
- Knowledge of REST APIs, OAuth/OIDC, ETL/ELT, Data Modeling, and Data Governance.
- Experience with Terraform, GitLab, CI/CD, Docker, and cloud-native architecture.
- Strong understanding of solution architecture, security, design reviews, and production support.
Preferred Technologies
- AWS: Lambda, S3, Glue, Athena, CloudWatch, ECS/Fargate, Step Functions.
- AI Frameworks: LangChain, LangGraph, Amazon Bedrock.
- Frontend: Vue.js, JavaScript.
- Testing: PyTest, SonarQube, Ruff, Black.
Desired Experience
- 10+ years in Software Development/Data Engineering.
- 3+ years leading technical teams and enterprise-scale AI/Data platforms.
- Strong stakeholder management, communication, and mentoring skills.
- Domain: AI, Data Engineering, Analytics, Decision Support Systems, Airline Operations.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted more than 2 months ago
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