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iLink Digital
Sr Data Engineer -iLink Digital • East Toronto (Studio District), Ontario, Canada
Sr Data Engineer -

Sr Data Engineer -

iLink Digital • East Toronto (Studio District), Ontario, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Job Description

Job Summary

We are seeking a highly skilled Databricks Engineer withAI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.

Key Responsibilities

  • Design and implement scalable ETL pipelines using Databricks & Spark
  • Build Lakehouse architecture using Delta Lake
  • Develop and deploy ML models using MLflow
  • Implement MLOps pipelines for training, testing, and serving models
  • Optimize cluster performance and reduce compute cost
  • Build RAG and LLM-based solutions using Mosaic AI
  • Integrate analytics with BI tools (Power BI, Tableau)
  • Implement data governance using Unity Catalog
  • Collaborate with Data Scientists and Business teams
  • Ensure data quality, security, and compliance

Required Skills

Mandatory

  • 5+ years of Databricks & Apache Spark
  • Strong Python & PySpark
  • Experience with Delta Lake & Lakehouse
  • MLflow & MLOps experience
  • Cloud platform (AWS/Azure/GCP)
  • Git & CI/CD

Preferred

  • Experience with LLMs & Generative AI
  • RAG pipelines & Vector Databases
  • Deep Learning frameworks
  • Databricks certifications
  • Power BI integration

Requirements

Job Summary

We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.

Key Responsibilities

  • Design and implement scalable ETL pipelines using Databricks & Spark
  • Build Lakehouse architecture using Delta Lake
  • Develop and deploy ML models using MLflow
  • Implement MLOps pipelines for training, testing, and serving models
  • Optimize cluster performance and reduce compute cost
  • Build RAG and LLM-based solutions using Mosaic AI
  • Integrate analytics with BI tools (Power BI, Tableau)
  • Implement data governance using Unity Catalog
  • Collaborate with Data Scientists and Business teams
  • Ensure data quality, security, and compliance

Required Skills

Mandatory

  • 5+ years of Databricks & Apache Spark
  • Strong Python & PySpark
  • Experience with Delta Lake & Lakehouse
  • MLflow & MLOps experience
  • Cloud platform (AWS/Azure/GCP)
  • Git & CI/CD

Preferred

  • Experience with LLMs & Generative AI
  • RAG pipelines & Vector Databases
  • Deep Learning frameworks
  • Databricks certifications
  • Power BI integration

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Sr Data Engineer - • East Toronto (Studio District), Ontario, Canada

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