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
- Posting language
- English
- Posted
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
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
Categories
- Data & Analytics
- Technology
- Logistics
- Energy
- Software
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