Aliaxis - Data Engineer - Data Lake & AI Enablement

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. - Strong 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.