Solution Engineer Job at Andersen

Job Description

Andersen is hiring a Solution Engineer for a project building a cloud-native data platform supporting scalable data processing, analytics, AI, and business intelligence solutions. The customer is a global investment management firm providing tailored investment solutions to institutional and private clients. The project is focused on building a modern cloud-native data platform that enables reliable, scalable, and secure data processing across structured, semi-structured, and unstructured data sources.

Job Responsibility

Designing, building, and operating production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement
Designing and implementing reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources
Modeling, curating, and optimizing Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers
Applying strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture
Partnering with business and technical stakeholders to translate requirements into robust data solutions, prioritize delivery, and identify opportunities to enable advanced analytics and AI use cases
Using AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards
Building cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate
Owning deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns

Requirements

Experience in software / solution / data engineering for 7+ years
Strong hands-on AWS experience (core services + architecture)
Strong hands-on Snowflake experience (data modelling, optimization, governance)
Proficiency in Python and/or Java
Experience building production-grade systems in enterprise environments
Knowledge of CI/CD, DevOps, Git workflows, Infrastructure-as-Code
Strong understanding of software engineering principles and best practices
Experience designing scalable data pipelines and data products
Ability to work end-to-end: architecture, development, deployment, operations
Strong communication and stakeholder collaboration skills
Level of English – from Upper-Intermediate and above

Nice to have

AWS certifications (Solutions Architect, Data Engineer, ML Engineer)
Snowflake certifications (SnowPro Core or advanced)
Experience with AWS AI services (e.g., Amazon Bedrock)
Experience with RAG, agent-based AI systems, and responsible AI practices
Familiarity with AI-assisted development methodologies (e.g., prompt engineering, evaluation loops)
Financial industry background
Experience with data governance, risk, and regulatory environments

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1000 USD per month by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
Private health insurance and compensation for sports activities

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Solution Engineer

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