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Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

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

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 9, 2026
Experience: Experience Required: 6-8 Years
Posting language: English
Posted: Nov 9, 2026

Original job description

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

Experience Required: 6-8 Years

Location: Toronto / Edmonton / Calgary

Work Model: Hybrid (3 days per week in office)

Role Summary

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.

Key Responsibilities

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)
Utilize Databricks platform capabilities such as:
- 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.

Required Skills

Databricks
Python
PySpark
SQL / Oracle SQL
Data Architecture & Data Modeling
ETL / ELT Pipeline Development
Machine Learning
Supply Chain Analytics
Data Integration and Data Transformation

Preferred Domain Experience

Supply Chain Management (SCM)
Oil & Gas Industry
Procurement Analytics
Supplier Performance Analytics
Spend Analytics

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More about this job

Responsibilities

Design, build, test, and optimize Databricks data pipelines and governed Silver and Gold data products using Python, PySpark, SQL, and enterprise data sources. Develop supply chain analytics and machine learning solutions, maintain project documentation, and communicate technical designs and product details to business stakeholders.

Requirements

The role requires 6–8 years of experience and expertise in Databricks, Python, PySpark, SQL, data architecture and modeling, ETL/ELT development, machine learning, and supply chain analytics. Experience with supply chain management, oil and gas, procurement, supplier performance, or spend analytics is preferred.

Skills

Databricks
Python
PySpark
SQL
Oracle SQL
Data Architecture
Data Modeling
ETL/ELT Pipeline Development
Machine Learning
Supply Chain Analytics
Data Integration
Data Transformation
Forecasting
Anomaly Detection
Natural Language Processing
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Python
PySpark
SQL
Oracle SQL
Data Architecture
Data Modeling
ETL
ELT
Machine Learning
Supply Chain Management
Oil and Gas
Procurement Analytics
Supplier Performance Analytics
Spend Analytics
Classification
Forecasting
Anomaly Detection
Text Analytics
Natural Language Processing
Oracle Cloud
SAP
ADW
Microsoft Dataflow
Dataverse
Unity Catalog
SQL Warehouses
Lakeflow
Workflows
Data Products

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