Key Responsibilities : Data Lake and Data Engineering : - Design, develop and maintain scalable ETL/ELT pipelines using Snowflake, AWS Glue, SQL and Python.- Build and maintain curated, reusable and governed data products for BI, analytics, Data Science and AI use cases.- Contribute to the architecture and development of Snowflake-based cloud data warehouse and lakehouse solutions.- Develop data models and optimize data storage, processing and retrieval performance in Snowflake.- Ensure data accuracy, completeness, integrity and consistency across source and target systems.- Monitor, troubleshoot and improve pipeline reliability, performance and data-loading SLAs.- Implement appropriate logging, testing, documentation and operational support for data pipelines.- Collaborate with source-system teams, analysts and business stakeholders to translate requirements into data solutions.Data Science and AI Application Enablement : - Prepare analysis-ready and feature-ready datasets for Data Science and AI applications.- Collaborate with Data Scientists and AI developers to operationalize models and AI use cases.- Support integration of Snowflake Cortex AI, AWS Bedrock, APIs and related AI services with enterprise data platforms.- Build and maintain data pipelines required for model inference, AI agents and business applications.- Apply security,



access-control and data-governance standards to datasets consumed by AI applications.Mandatory Experience and Skills : - 3 to 5 years of overall experience, including at least 2 years of hands-on cloud data engineering experience.- Minimum 2 years of hands-on Snowflake experience, covering data modelling, SQL development, performance optimization and ETL/ELT integration.- Strong hands-on skills in advanced SQL and Python.- Understanding of data security, RBAC, lineage and governance concepts.- Hands-on experience with AWS Glue or a comparable cloud data-integration service.- Good understanding of dimensional modelling, data warehousing and lakehouse architecture.- Experience in data quality, pipeline monitoring, troubleshooting and performance optimization.- Working knowledge of Git, CI/CD and Agile software-delivery practices.- Robust analytical, problem-solving and stakeholder communication skills.- Bachelor's degree in Computer Science, Information Technology or a related discipline.Good to Have : - Exposure to Snowflake Cortex AI, AWS Bedrock, Copilot Studio or other GenAI platforms.- Experience supporting model deployment, inference pipelines, AI agents or AI-enabled applications.- Exposure to Finance, Accounts, Sales, Supply Chain or Manufacturing data domains.Role Positioning : This is primarily a hands-on Snowflake Data Engineering role with responsibility for enabling Data Science and AI applications. (ref:hirist.tech)

📌 Aliaxis - Data Engineer - Data Lake & AI Enablement (Bengaluru)
🏢 Aliaxis
📍 Bengaluru