Details
Posted : 08-Aug-25
Location : Fairfield, Connecticut
Type : Full Time
Categories :
Technical (Programmer, Developer, Analyst)
Preferred Education :
4 Year Degree
Additional Information :
Hybrid / Remote is allowed.
Essential Functions
ETL Framework Development & Management
- Design, develop, and maintain high-performance ETL pipeline
- Ensure data accuracy, consistency, and integrity across different university systems.
Data Warehouse Optimization
Monitor and optimize ETL performance, load balancing, and execution times.Work with data architects to enhance the existing cloud data warehouse framework.Data Security & Governance
Implement data security best practices in alignment with compliance policies.Ensure proper access control and data masking techniques.Collaboration with Business & IT Teams
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.Technology Evaluation & Best Practices
Stay current with emerging trends in data engineering, cloud computing, and machine learning.Evaluate and recommend new tools, techniques, and methodologies for data integration.Troubleshooting & Support
Monitor ETL jobs, troubleshoot failures, and optimize data pipeline performance.Provide support for production data processes and resolve data inconsistencies.Documentation & Knowledge Sharing
Maintain detailed technical documentation for ETL processes and data workflows.Provide training and guidance to junior developers and data analysts.Additional Responsibilities :
Participate in data migration and digital transformation initiatives .Collaborate on business intelligence reporting and analytics solutions .Develop and maintain data lineage and metadata management practices .Perform other duties as assigned.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.ETL Development & Data Integration – Design and implement ETL workflows for structured and unstructured data.Cloud Platforms – Knowledge of AWS, Azure, or GCP cloud environments.Data Modeling & Performance Optimization – Optimize database design and query performance.Scripting & Automation – Experience with Python, Shell scripting, and automation tools.Business Intelligence & Analytics – Understanding of reporting tools and dashboard integration.Networking & Connectivity – Familiarity with heterogeneous source systems, APIs, and database connectivity.About KMR Executive Search