As a Data Engineer at MECS, you'll play a crucial role in ensuring that high-quality data is available for business intelligence and analytics. This position is ideal for someone with a solid background in data management and a passion for supporting data-driven decision-making.
MECS is looking for a skilled Data Engineer to enhance their data and analytics capabilities. In this role, you will support Business Intelligence Analysts and Data Scientists by providing them with curated datasets that are ready for analysis. Your main responsibility will be to extract, integrate, transform, cleanse, and standardize data from various operational systems across the organization.
On a daily basis, you will work with multiple data sources, ensuring that the data is high-quality, reliable, and governed. This will involve collaborating closely with other teams to understand their data needs and ensuring that the datasets you create meet those requirements. You will also be responsible for managing the data within the enterprise Data Warehouse, which is essential for reporting and analytics.
The ideal candidate for this position will have a strong background in data engineering and experience with data management practices. You should be comfortable working with various data extraction and transformation tools, and have a good understanding of data governance principles. If you enjoy working in a collaborative environment and are passionate about supporting data-driven decision-making, this role could be a great fit for you.
Key responsibilities include: • Extracting data from multiple source systems, including ERP and TMS • Integrating and transforming data to create reliable datasets • Cleansing and standardizing data to ensure quality • Collaborating with BI Analysts and Data Scientists to meet their data needs
If you have at least three years of experience in a similar role and are eager to contribute to a data-driven organization, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.