Data Engineer - AI/GenAI Solutions in Bangalore, भारत

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 https://jobeax.com/link/86DscMukVX8p2VNe 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 https://jobeax.com/link/XF1OMzY5gzhpXhBJ 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. (ref:hirist.tech)