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Job Description
Structured overview of role & requirementsAbout This Role
Leverage advanced analytics, statistical modeling, and data visualization to transform raw data into actionable business insights.
Manage, inspire teams and build client connections while delivering quality AI-driven solutions within the Data and Analytics Engineering practice.
Utilize cloud platforms, CI/CD, LLM frameworks, and data orchestration tools to develop and optimize complex data workflows and AI systems.
Minimum Requirements
Bachelor's and Master's degrees mandatory.
Minimum 4 years of work experience.
Proficient in Python (including typing, pytest, logging, async), SQL, cloud platforms (AWS, Azure, or GCP), and CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI).
Oral and written English proficiency required.
Ideal Candidate Profile
Strong expertise in cloud networking and security architecture (VPC, subnets, NAT gateways, IAM, encryption) ensuring secure and compliant cloud environments.
Experienced in designing and securing APIs with advanced authentication and scalable event-driven architectures using Kafka, AWS services, and cloud-native data platforms.
Comfortable operating in client-facing roles with proven ability to manage teams, handle ambiguity, and deliver complex AI and data engineering projects.