Senior ETL Developer

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
5+ years of experience in data engineering, ETL development, and data integration.
2+ years of experience in an ETL Architect or Lead role, designing scalable data pipelines.
Strong experience with cloud-based data warehousing and integration.
Proficiency in SQL, relational databases, and data modeling.
Hands-on experience in ETL tools such as Informatica (preferred), Talend, or AWS Glue.
Experience working with DevOps practices, version control, and CI/CD pipelines.
Strong understanding of data security, governance, and compliance.

Design, develop, and maintain high-performance ETL pipelines.
Ensure data accuracy, consistency, and integrity across different university systems.
Monitor and optimize ETL performance, load balancing, and execution times.
Work with data architects to enhance the existing cloud data warehouse framework.
Implement data security best practices in alignment with compliance policies.
Ensure proper access control and data masking techniques.
Work closely with institutional researchers, finance, admissions, and other departments to define and implement data ingestion rules.
Assist stakeholders in defining data transformations and modeling requirements.
Stay current with emerging trends in data engineering, cloud computing, and machine learning.
Evaluate and recommend new tools, techniques, and methodologies for data integration.
Monitor ETL jobs, troubleshoot failures, and optimize data pipeline performance.
Provide support for production data processes and resolve data inconsistencies.
Maintain detailed technical documentation for ETL processes and data workflows.
Provide training and guidance to junior developers and data analysts.

Hands-on experience in ETL tools such as Informatica (preferred), Talend, or AWS Glue.
Knowledge of AWS, Azure, or GCP cloud environments.
Experience with Python, Shell scripting, and automation tools.