Overview
Industry : Industrial Automation & Technology
A leading organization in the industrial automation sector is seeking a skilled Data Engineer to support enterprise AI and data initiatives.
This role focuses on developing scalable data infrastructure, migrating legacy systems, and enabling advanced analytics and machine learning use cases.
Key Responsibilities
Design and implement ETL/ELT pipelines to support AI/ML models and business intelligence
Lead the migration of legacy data platforms to a modern Snowflake-based architecture
Ensure secure, high-performance infrastructure aligned with data governance policies
Collaborate with cross-functional teams including data scientists and business stakeholders
Support real-time data processing and integration of unstructured data sources
Contribute to AI model deployment by preparing datasets and ensuring seamless system integration
Technical Environment
Platforms : Snowflake, AWS (Glue, S3, RDS, Fargate), Azure
Tools : dbt, MLflow, LangChain, Docker
Languages : SQL, Python, Java
AI/ML : TensorFlow, PyTorch, LLM pipelines, vector databases
Qualifications
More than 4 years of hands-on experience in data engineering
Experienced in Snowflake (SnowPro certification preferred)
Strong knowledge of cloud-based data architecture and data warehouse migration
Experience with ETL/ELT frameworks and MLOps tools
Familiarity with data security, governance, and performance optimization
Ability to collaborate effectively with technical and non-technical stakeholders
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Reg.
No. R
BeathChapman Pte Ltd
Licence no.
16S8112
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