Technical (Programmer, Developer, Analyst).ETL Framework Development & Management.Design, develop, and maintain high-performance ETL pipeline.
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Full Stack Software Developer
StoutBridgeport, CT, United States
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ETL Data Test Lead
VirtualVocationsBridgeport, Connecticut, United States
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A company is looking for a Test Lead - Data.Key Responsibilities Develop and implement testing strategies, plans, and processes for ETL and data warehouse projects Execute ETL tests, including f...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_1_day
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Sharepoint Developer & Administrator
Nexus Jobs LimitedMilford, United States
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ETL Developer (Remote)
MaximusBridgeport, CT, US
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Description & Requirements Maximus is currently seeking a ETL Developer to work remote and join our team supporting one of our Federal clients.
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UI / UX Developer
Sacred Heart UniversityFairfield, CT, United States
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Senior ETL Developer
Fairfield UniversitySouthport, CT, US
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Fairfield University is seeking a Senior ETL Developer to contribute to the modernization of our cloud-based data infrastructure.
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UI / UX Developer
MediabistroFairfield, CT, United States
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Java / Full-Stack Developer - Entry Level
SynergisticITBridgeport, CT, US
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Filemaker Developer 1 year contract Hartford, CT 06107 (Remote)
Lorven TechnologiesConnecticut, United States
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Location : Hartford, CT 06107 (Remote).Develop software in compliance with the client Architecture Standards and Methodologies.
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Senior ETL Developer
KMR Executive SearchFairfield, Connecticut
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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.