Senior ETL Developer
Fast Facts
We're seeking a Senior ETL Developer to design and maintain high-performance ETL pipelines while ensuring data integrity and optimization within a university setting.
Responsibilities: Key responsibilities include developing ETL frameworks, optimizing data workflows, implementing security practices, and collaborating with various institutional departments to define data ingestion rules.
Skills: Required skills include proficiency in SQL, data modeling, data security, cloud platforms (AWS, Azure, GCP), and experience with DevOps practices and ETL automation.
Qualifications: Candidates should have 5+ years of experience in data engineering and ETL development, with 2+ years in a lead role, along with strong skills in cloud data warehousing and ETL tools like Informatica or AWS Glue.
Location: Fairfield, Connecticut, USA
Compensation: Not provided by employer. Typical compensation ranges for this position are between $100,000 - $130,000.
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.
Average salary estimate
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