Data Analyst

at  Worley

Data Analyst - SUD004O
Company: Worley
Primary Location: CAN-AB-Calgary
Job: Data Analysts
Schedule: Full-time
Employment Type: Employee
Job Posting: May 6, 2024
Unposting Date: Jun 6, 2024
Reporting Manager Title: Electrical Engineering Group Manager
:
Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
Position Title. Data Analyst

TECHNICAL AND INDUSTRY EXPERIENCE:

• Extensive experience in mining, mining operations, or heavy industry preferred.
• Proficient in Azure Data Factory/Synapse Analytics
• Advanced SQL ‘hands on’ knowledge
• Knowledgeable in ETL Process (Data Ingestion, Transformation, Cleansing, Error Handling)
• Familiarity with Data Modeling and Database Design
• Familiarity in DevOps practices (Github, ADO)
• Familiarity with Azure Security Features
• Familiarity with Python and Scala Programming
• Experience implementing data integration solution in a Mining Operation is preferred.
• Experience in the deployment and operations of autonomous solutions in the mining industry preferred

PURPOSE:

The Data Specialist will be responsible for designing, implementing and managing data solutions on the various platforms including Azure.

RESPONSIBILITIES:

• Ingesting data from various On-prem or Cloud sources such as databases, files and APIs into Azure using Azure Synapse Analytics
• Performing data transformation and processing tasks to prepare the data for analysis and reporting
• Collaborating with Data Architects to design and implement data models and maintain data architecture to support data analytics and business intelligence reporting.
• Collaborating with stakeholders to understand business needs and translating them into technical requirements
• Ensuring Data Quality compliance by implementing data cleansing, transformation, and monitoring processes. Troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
• Automating data pipelines (DevOps), monitoring data processes and managing deployments
• Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
• Providing support for data governance, including metadata management, data lineage, and data cataloging.