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Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics

@ Astra North Infoteck Inc.

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Toronto, Ontario

Contrat
Postuler
SIGNAUX

Responsabilités :

  • Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance,…
  • Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and orchestration patterns to support…
  • Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.
  • Build and evaluate machine learning, statistical, and AI-assisted solutions, including: Classification
  • Forecasting
  • Anomaly Detection

Résumé des exigences :

  • Experience Required: 6-8 Years
  • Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance, spend analytics, and enterprise…
  • Maintain project documentation, including idea assessments, requirements, design documents, and weekly status reports.
  • Communicate technical concepts, requirements, solution designs, and product details effectively to business stakeholders in clear, non-technical language.
  • Required Skills
  • Preferred Domain Experience
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-11-08
Première détection par notre source
2026-11-09
Mise à jour du dossier source
2026-11-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler

Astra North Infoteck Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy427
Description

DatabricksLead–Python,PySpark,SQL&SupplyChainAnalytics

ExperienceRequired: 6-8 Years

Location:Toronto /Edmonton / Calgary

WorkModel: Hybrid (3 days per week in office)

RoleSummary

Seeking a Databricks Lead with strong expertise in Databricks to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value. This role combines advanced analytics, data pipeline development, and product delivery to transform complex Supply Chain Management (SCM) data into trusted, governed, and actionable insights.

KeyResponsibilities

  • Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance, spend analytics, and enterprise value drivers.

  • Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and orchestration patterns to support reliable Silver and Gold data products.

  • Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.

  • Build and evaluate machine learning, statistical, and AI-assisted solutions, including:

    • Classification

    • Forecasting

    • Anomaly Detection

    • Text Analytics

    • Natural Language Processing (NLP)

  • UtilizeDatabricksplatformcapabilitiessuchas:

    • Notebooks

    • Jobs

    • Workflows

    • Unity Catalog

    • SQL Warehouses

    • Genie Code

    • Lakeflow / Lakeflow Designer

  • Maintain project documentation, including idea assessments, requirements, design documents, and weekly status reports.

  • Communicate technical concepts, requirements, solution designs, and product details effectively to business stakeholders in clear, non-technical language.

RequiredSkills

  • Databricks

  • Python

  • PySpark

  • SQL / Oracle SQL

  • Data Architecture & Data Modeling

  • ETL / ELT Pipeline Development

  • Machine Learning

  • Supply Chain Analytics

  • Data Integration and Data Transformation

PreferredDomainExperience

  • Supply Chain Management (SCM)

  • Oil & Gas Industry

  • Procurement Analytics

  • Supplier Performance Analytics

  • Spend Analytics


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