Data Engineer
6 days ago
Company Overview
The Massachusetts Institute of Technology (MIT) is a world-renowned institution dedicated to advancing knowledge and educating students in science, technology, and other fields.
Job Summary
We are seeking an experienced Data Engineer - Business Intelligence Leader to lead the full life cycle of Business Intelligence platform development, including design, coding, testing, and production. This role will build standard-driven data integration and automation processes to manage the integrity and quality of MIT financial data used for reporting and analytics.
Responsibilities
- Design, develop, and implement Business Intelligence solutions using AWS Redshift, Oracle, and PostgreSQL databases.
- Develop, orchestrate, and support ETL/ELT pipelines using open-source or commercial software.
- Build data integrations with ERP and other financial systems.
- Create OLAP and visualization and reporting software using Tableau or similar tools.
- Collaborate with cross-functional teams to gather requirements, design solutions, and implement changes.
- Develop and maintain data profiling, data quality, master data management, and metadata management processes.
- Maintain accurate and up-to-date documentation of data sources, transformations, and delivery mechanisms.
- Analyze business needs and recommend process improvements to increase efficiency and reduce costs.
- Partner with stakeholders to develop and execute strategies to improve data quality and governance.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field.
- At least 5 years of experience in data engineering, with a focus on Business Intelligence and data integration.
- Demonstrated expertise in designing, developing, and implementing large-scale data processing systems.
- Proven track record of building and leading high-performing teams.
- Excellent communication, interpersonal, and problem-solving skills.
Preferred Qualifications
- Master's degree in Computer Science, Information Systems, or related field.
- Experience with project management methodologies such as Agile or Waterfall.
- Recognized certifications in data warehousing, business intelligence, or related fields.
- Knowledge of cloud computing platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Salary Range
$100,000 - $120,000 per year.
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