Purpose/Summary 

The Aga Khan University (AKU) holds a unique position in today’s global landscape due to access to millions of data records over the past decade; both traditional and non-traditional sources. This unique resource can drive innovation and help gain a more nuanced understanding of the unique challenges facing development nations and the potential solutions.

To capitalize on this unique opportunity, we are looking to hire data engineers to work in the office of the Chief Data Innovation Officer (CDIO). Our team works with our research and academic colleagues across AKU to build data platforms, data stores, data models, analytic dashboards and interactive reports. Our goal is help kick off or support a project and ensure the team thrives to build relevant and actionable intelligence that can deliver social impact in the communities we serve or raise the bar of academic excellence within our operations.

The data engineer role will be the critical role in every project we tackle as data wrangling is 80% of the effort and will work very closely with the Senior Lead and help manage projects across the team. They will be well versed in all things data, know how to dive deep to unblock an issue, and excel at solutioning. They have a strong track record in industry, have delivered data products across the spectrum from dashboards to complex data platforms. If you are data driven and looking to take your expertise to the next level, this opportunity is for you.

Key Roles and Responsibilities 

• Measure pipeline uptime, error rates, and response times.
• Monitor data ingestion rates and latency.
• Monitor and report data quality issues, track data cleansing activities.
• Measure system performance under load and scalability improvements.
• Monitor and report on data breaches, compliance with data security regulations.
• Measure ETL processing time, resource utilization, and improvements in efficiency.
• Evaluate the architecture's adaptability to changing business needs and data growth.
• Monitor and report on compliance status, data audit results, and remediation efforts.
• Measure data recovery time and success rates.

Relevant Experience and Qualifications

• A minimum of 2+ years working as a data engineer at a high-tech company within an analytics domain or internships
• Bachelors of Math, Data Science, Computer Science is a great addition
• A proven track record in building and shipping successful analytics software products at scale at a high-growth, high-tech company
• Concrete experience building data pipelines, data repositories and data products in a cloud environment
• A deep understanding of the different domains of Data Science: ETL, data analytics, machine learning, and operational research
• Strong project management skills and the ability to juggle many conflicting demands and needs across a diverse set of groups
• An ability to define and prioritize initiatives while working cross-functionally, and managing complex stakeholder relationships
• Strong collaboration and communication skills especially with IT around technical infrastructure, security and regulatory governance

Personal Characteristics 

• Proven abilities to take initiative and be innovative
• Strong references that speak to your ability to collaborate and communicate with stakeholders, designers, developers, data scientists, IT and researchers in an agile environment
• A genuine excitement for solving complex problems and strong sense of empathy for the challenges faced by LMICs
• An entrepreneurial mindset - you roll up your sleeves, thrive on change, and get things done
• To be a team player, coach, and referee all-in-one