Data EngineerROU00376 WHAT DOES AGNICO EAGLE VALUE?
At Agnico Eagle, our values never waver. We believe in trust, respect, equity, family and responsibility. Why? Because they express who we are, and they have helped us succeed in business for over 60 years. We value you – your unique set of skills and experience. We value your willingness to build those skills and make a meaningful contribution to our company. And, we value your commitment to treat every person on our team with respect, helping us to operate safely, protect the environment and make a positive contribution to our local communities.
ABOUT OUR OPERATION
Canadian-based and led, Agnico Eagle is Canada's largest mining company and the second largest gold producer in the world. It produces precious metals from operations in Canada, Australia, Finland and Mexico and has a pipeline of high-quality exploration and development projects. Agnico Eagle is a partner of choice within the mining industry, recognized globally for its leading sustainability practices. Agnico Eagle was founded in 1957 and has consistently created value for its shareholders, declaring a cash dividend every year since 1983.
The Support and Development Center provide services to Agnico Eagle's various Canadian and / or international mining operations in a variety of areas, including administration, financial services, IT, supply chain, human resources, communications, construction as well as technical services (geology, engineering, metallurgy, infrastructure, marketing, innovation, and digital transformation).
Reporting to the Business Intelligence Manager, you’ll be part of the Business Performance department. You’ll make sur that identified objectives are achieved while promoting and respecting Agnico Eagle’s values, code of conduct concerning health and safety and environment.
The Data Engineer will be part of a multi-disciplinary team whose objective is to generate insight from existing operational and technical data sets, as well as develop tools and use advanced analytics to extract the maximum value from them.
As a Data Engineer, you’ll actively contribute at designing and developing data solutions that meet the need of operations and end users. Those solutions will improve and streamline operational processes, gain insight from large structured and unstructured data sources, and increase profitability of the business.
You’ll be collaborating with the other members of the broader Agnico Eagle organization such as Operations, Regional and corporate IT, Subject Matter Experts as well as other disciplines within the company in order to make certain requirements are met, standards are upheld, all testing is performed, and appropriate technical documents are created for the created and implemented solutions.
Specifically, you will:
Work closely with Data Analysts, Data Engineers, and mining domain experts to understand their data needs and deliver suitable solutions Design optimized data models from various data sources to meet business needs.
Design, create, and manage datasets and databases to meet the data needs of the organization.
Develop, construct, test, and maintain data architectures and processing systems.
Develop and implement processes for data acquisition, ingestion, and extraction from varying data structured, unstructured, time-series sources.
Build ELT (Extract, Load, Transform) pipelines to facilitate the flow of data from various sources to the data lakehouse or other destinations.
Provide technical review and feedback to the data analysts and junior data engineers.
Perform and support data modeling and prepare data for analytics and business intelligence (BI) applications.
Implement data quality checks and validations to ensure the accuracy and reliability of data.
Implement data security measures, ensuring compliance with company cybersecurity requirements and best practices.
Optimize data retrieval and cloud computing resources to support the high-performance data visualization applications to improve system performance and usability.
Provide technical expertise and support related to data engineering to different teams within the organization.
Stay updated with the latest industry trends and technologies to improve data engineering processes and systems.
All other ad hoc duties as requested.
