Data Engineer

AI Solution Developer (Data + AI)

Experience: 5+ Years
Location: [Bangalore ]
Industry: Healthcare / Technology

About the Role

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. The role will involve developing scalable data pipelines as well as adopting AI-assisted development tools to improve engineering productivity and solution delivery.

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.
• Strong programming experience in Python.
• Strong SQL development and query optimization skills.
• Hands-on experience with Data Vault 2.0.
• Hands-on experience with dbt (Data Build Tool).
• Experience developing and maintaining ETL/ELT pipelines.
• Experience with data modelling and cloud data warehouse environments.
• 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.
• Strong problem-solving and communication skills.

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.
• Experience with AI coding assistants/copilots such as AltimateAI.
• Engineering degree in Computer Science, Data Engineering, or a related discipline.

Ideal Candidate Profile

We are particularly interested in candidates with a combination of:

Snowflake + Python + SQL + dbt + Data Vault 2.0 + ETL/ELT + AI/GenAI/Streamlit

Candidates should have strong hands-on development experience and be comfortable working beyond traditional data engineering to build AI-enabled solutions.