Job Description:

We are looking for an experienced AI Solution Developer (Data + AI) with strong expertise in Snowflake, Python, SQL, dbt, and Data Vault 2.0. The ideal candidate will have a strong data engineering background along with the ability to build AI-enabled solutions using Python, Streamlit, and GenAI technologies.

Key Responsibilities:

- Design and develop scalable data engineering pipelines and solutions using Snowflake, Python, and SQL.

- Develop and maintain ETL/ELT pipelines, data models, and data transformations.

- Implement and maintain Data Vault 2.0 based data warehouse architectures.

- Develop data transformations, testing, and workflows using dbt.

- Build production-ready Python-based data and solution development applications.

- Develop rapid AI/GenAI solutions using Streamlit or similar frameworks.

- Leverage AI-assisted development tools such as AltimateAI and other coding copilots to improve development productivity and code quality.

- Integrate Azure services into data and AI solutions where required.

- Follow software engineering best practices including Git, version control, CI/CD, testing, and documentation.

- Identify opportunities to incorporate AI into the data engineering and software development lifecycle.

- Collaborate with technical teams and business stakeholders to deliver scalable solutions.

Mandatory Skills:

- 5+ years of experience in Data Engineering, Software Engineering, or a related field.

- Strong hands-on experience with Snowflake, Python, and SQL development.

- Hands-on experience with Data Vault 2.0 and dbt.

- Experience developing and maintaining ETL/ELT pipelines and data modelling.

- Ability to build AI/GenAI solutions using Streamlit or similar frameworks.

- Willingness to adopt and work with AI-assisted development tools.

- Good understanding of Git, version control, and CI/CD.

Good to Have:

- Experience with Azure Data Factory, Azure Synapse, Azure Functions, or other Azure services.

- Exposure to GenAI, LLMs, AI/ML concepts, or AI development tools.

- Experience with Databricks or other cloud analytics platforms.

- Engineering degree in Computer Science, Data Engineering, or a related discipline.