Job Description :

Andersen is hiring a Solution Engineer in India.

Andersen is an international pre-IPO software development company uniting over 3,500 top-class professionals. For more than 19 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies.

Today, we are working with businesses from various parts of the world, including Western Europe, the USA, and Asia. Our expertise includes FinTech, Healthcare, Retail, Telecom, Media & Entertainment, Logistics, Travel & Hospitality, eCommerce, and other industries.

Project :

The project focuses on building a modern, cloud-native data platform that enables reliable, scalable, and secure data processing across structured, semi-structured, and unstructured data sources.

The role involves developing high-quality data pipelines, data products, and integrations using AWS and Snowflake, while supporting enterprise-wide analytics, AI, and business intelligence initiatives.

The project emphasizes software engineering best practices, automation, CI/CD, observability, and AI-assisted development to deliver maintainable, production-grade solutions with a strong focus on performance, governance, and operational excellence.

Responsibilities :

- Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.

- Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.

- Model, curate, and optimize Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.

- Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.

- Collaborate 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.

- Use AI-assisted engineering as a standard part of daily development to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgment and quality standards.

- Build cloud-native integrations and automation on AWS, effectively using services related to compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.

- Own 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 :

- 7+ years of experience in software engineering, solution engineering, or data engineering.

- Strong hands-on experience with AWS (core services and architecture).

- Strong hands-on experience with Snowflake (data modeling, optimization, governance).

- Proficiency in Python and/or Java.

- Experience building production-grade systems in enterprise environments.

- Knowledge of CI/CD, DevOps, Git workflows, and Infrastructure as Code (IaC).

- Strong understanding of software engineering principles and best practices.

- Experience designing scalable data pipelines and data products.

- Ability to work across the full software lifecycle : architecture, development, deployment, and operations.

- Strong communication and stakeholder management skills.

- English proficiency at Upper-Intermediate (B2) level or above.

Nice to Have :

- AWS certifications (Solutions Architect, Data Engineer, or Machine Learning Engineer).

- Snowflake certifications (SnowPro Core or advanced).

- Experience with AWS AI services (e.g., Amazon Bedrock).

- Experience with Retrieval-Augmented Generation (RAG), agent-based AI systems, and responsible AI practices.

- Familiarity with AI-assisted development methodologies (e.g., prompt engineering and evaluation loops).

- Experience in the financial services industry.

- Experience with data governance, risk management, and regulatory environments.

Reasons to join us :

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.

- The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions : you can work both fully remotely and from the office or can choose a hybrid variant.

- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.

- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).

- Certification compensation (AWS, PMP, etc).

- Referral program.

- English courses.

Join us!