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LanceSoft, Inc.

SCM Databricks Data Analyst

Calgary, AB, Canada

$50 to $55 CAD / hour · Contract

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Job details

Pay: $50 to $55 CAD / hour
Job type: Contract
Apply by: Dec 9, 2026
Posting language: English
Posted: Nov 9, 2026

Original job description

Pay Range: CAD 50-55/hr

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

Develop supply chain analytics solutions and build, test, and optimize scalable Databricks ETL/ELT pipelines and data products. Transform enterprise data, develop machine learning and statistical solutions, maintain project documentation, and communicate technical designs to business stakeholders.

Requirements

The role requires experience with Databricks, Python, PySpark, SQL, data architecture and modeling, ETL/ELT development, machine learning, and data integration and transformation. Supply chain management, oil and gas, procurement, supplier performance, and spend analytics are preferred domain areas.

Skills

Databricks
Python
PySpark
SQL
Oracle SQL
Data Architecture
Data Modeling
ETL/ELT Pipeline Development
Machine Learning
Supply Chain Analytics
Data Integration
Data Transformation
Procurement Analytics
Supplier Performance Analytics
Spend Analytics

Visa sponsorship

Not detected in the job text

Keywords

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

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