Posted yesterday
Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics
@ Astra North Infoteck Inc.
Toronto, Ontario
Responsibilities:
- 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
Requirements summary:
- 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 and dates
Source type not verified · zoho
- Employer posting date
- 2026-11-08
- First seen by our source
- 2026-11-09
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 427 |
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
Journal
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