Data Engineer - AI/GenAI Solutions
Sunovaa Tech · Bangalore ·
- Category
- Data engineering
- Experience
- 5+ years
Sunovaa Tech · Bangalore ·
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.