Snowflake Data & AI Engineer: Pipelines & Cortex AI

INFOSYS COMPAZ PTE. LTD.

Singapore

Vor Ort

SGD 100.000 - 167.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

INFOSYS COMPAZ PTE. LTD. seeks a Data & AI Engineer (Snowflake Platform) in Singapore to design, build and support production-grade data and AI solutions for Temasek’s enterprise data landscape.

The role involves Snowflake data pipelines, semantic views, and Cortex AI applications, while preserving Qlik dashboards during the transition to Snowflake-native analytics. The ideal candidate has strong Snowflake, SQL and Python experience, practical data engineering skills, and experience delivering

Qualifikationen

  • Snowflake, SQL and Python required.
  • Experience in data engineering, data modeling and data quality.
  • Experience delivering enterprise AI or NLP solutions.
  • Qlik knowledge for continuity and transition is a plus.
  • Knowledge of Cortex AI stack and Streamlit is beneficial.

Aufgaben

  • Design, develop and support data and AI solutions on the Snowflake platform.
  • Build Snowflake data pipelines and transformations using SQL, Python, Snowpark and Airflow.
  • Develop semantic views and governed metrics for natural-language analytics.
  • Maintain Qlik dashboards and support transition to Snowflake-native analytics.
  • Work with investment, sustainability and enterprise datasets; include structured and unstructured data.
  • Profile, validate data, test and support releases; production support.

Kenntnisse

Snowflake
SQL
Python
Data Engineering
Apache Airflow
Snowpark
Cortex AI
Embeddings
REST APIs
CI/CD

Tools

Snowpark
Git
CI/CD

Jobbeschreibung

INFOSYS COMPAZ PTE. LTD. seeks a Data & AI Engineer (Snowflake Platform) in Singapore to design, build and support production-grade data and AI solutions for Temasek’s enterprise data landscape.

The role involves Snowflake data pipelines, semantic views, and Cortex AI applications, while preserving Qlik dashboards during the transition to Snowflake-native analytics. The ideal candidate has strong Snowflake, SQL and Python experience, practical data engineering skills, and experience delivering

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