What you will be working on
As a Data Engineer within DSAD, you will play a pivotal role in managing and optimizing data pipelines, ensuring the seamless flow and integrity of data across our organization. Your expertise in data pipeline management, automation, MLOps, data governance, and infrastructure architecture will contribute significantly to our mission of leveraging data to drive innovation and operational excellence. We are looking for a candidate who embodies our core values of integrity, collaboration, and continuous improvement, and who is passionate about harnessing the power of data to achieve our strategic objectives.
- Data Pipeline Management, Automation, and MLOps Proficiency
Manage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumption
Automate data preparation and integration tasks using innovative tools and techniques
Apply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructure - Data Governance, Cataloging, and Collaboration
Work closely with data governance teams to ensure data is accurately cataloged and available for governed reuse
Collaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibility - Infrastructure Architecture and Data Modeling
Design and manage scalable data infrastructure using cloud services like AWS
Develop efficient data models and pipelines for large-scale data sets, ensuring data quality and availability - Data Quality Assurance, Documentation, and Continuous Improvement
Lead initiatives to establish standards for data accuracy and reliability
Maintain comprehensive documentation on data architectures and management practices
Stay updated on data engineering advancements, advocating for and implementing improvements
Facilitate knowledge sharing and technical training sessions to enhance organizational data competency
What we are looking for
- Tertiary qualifications in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
- A minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data quality
- At least three years of experience in cross-functional team collaboration and supporting data management/analytics initiatives
- Demonstrated ability to work creatively and collaboratively with both business and IT teams
- Strong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levels
- Confident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrity
- Highly adaptable and committed to excellence in a dynamic business environment
