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Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our team at Nextgen System Canada. As a Data Engineer, you will play a critical role in designing, building, and maintaining our data infrastructure, ensuring that our business operations are supported by accurate and timely data insights.
Key Responsibilities- Data Engineering: Design, develop, and deploy data pipelines, architectures, and systems to support business intelligence and analytics initiatives.
- Predictive Modeling: Build and maintain predictive models using machine learning algorithms to drive business decisions and improve operational efficiency.
- Business Intelligence: Develop and maintain business intelligence reports, dashboards, and visualizations to support data-driven decision making.
- Cloud and Big Data: Design and implement cloud-based data architectures and big data solutions to support scalable and secure data storage and processing.
- Team Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure that data solutions meet business requirements.
- Education: Bachelor's degree in Computer Science, Data Science, or related field.
- Experience: 2 years to less than 3 years of experience in data engineering, predictive modeling, and business intelligence.
- Skills: Strong programming skills in languages such as Python, Java, or Scala; experience with data engineering tools such as Apache Beam, Apache Spark, or AWS Glue; knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud.
As a Data Engineer at Nextgen System Canada, you will work in a fast-paced environment with tight deadlines and a focus on delivering high-quality results. You will be part of a collaborative team that values innovation, adaptability, and continuous learning.
What We Offer- Competitive Salary: We offer a competitive salary and benefits package.
- Opportunities for Growth: We provide opportunities for professional growth and development, including training and mentorship programs.
- Collaborative Team: You will be part of a collaborative team that values innovation, adaptability, and continuous learning.