KeyrusCloud

Data Engineer

• Collaborate with clients to understand business objectives and technical requirements and translate them into data solutions
• Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Microsoft Fabric, Snowflake, Azure Data Services, etc.
• Lead engineering for real-time and ML/AI use cases, including data/feature pipelines, Kafka/Kinesis, vector DB integrations, and integrations with LLMs/AI services (AWS Bedrock, Azure OpenAI, Vertex AI)
• Lead and mentor a small technical team to ensure successful delivery and development
• Contribute to proposals, solutioning, and client conversations with technical expertise
• Manage Agile/Scrum project delivery from backlog management to sprint execution
• Work closely with cross-functional teams (data engineers, analysts, business stakeholders) to deliver cohesive solutions
• Share knowledge, shape best practices in the data practice, and recommend improvements based on emerging technologies

Senior Data Engineer

Solutions Engineer

• Act as a trusted advisor for clients and software partners, contributing to pre-sales discussions , scoping, and solutioning to add value to proposals and strengthen partnerships.
• Provide service and software cost estimations for projects
• Design, deploy, and maintain scalable, secure, cloud architectures , primarily on AWS , with versatility across Azure and other cloud technologies tailored to business needs.
• Develop scripts (using Python, Bash, or PowerShell) to automate routine tasks.
• Lead design sessions and apply best practices in infrastructure-as-code, CI/CD pipelines, security, monitoring, and cost optimization
• Design cloud architectures to support modern analytics, data science, and AI/ML workloads , including scalable model deployment, data pipelines, vector databases, model deployment, and integration with services like AWS Bedrock, Azure OpenAI
• Troubleshoot cloud issues, respond to incidents, and provide support when needed.
• Use log analysis and monitoring platforms (e.g., CloudWatch, Datadog, New Relic) to identify and resolve system bottlenecks.
• Mentor team members and collaborate with development, operations, and business teams to shape technical strategy and delivery processes for the cloud practice.
• Opportunity to grow into a future management role , providing guidance and mentorship to a technical team as the cloud practice expands.

Senior Data Engineer

Cloud Solution Architect