Job Details: Senior Data Engineer (Azure Data Factory / Databricks) Position Id: J0525-0081 Job Type: 6-12 months (contract) Country: United States Location: White Plains, NY Pay Rate: Open Job Description: Our client - a major utility firm based out of Westchester County, NY - has an immediate need for Senior Data Engineer. The particulars of the position are as follows. Job Functions & Responsibilities: ETL & Data Integration: • Design, develop, and optimize ETL pipelines using Azure Databricks, ADF, and Pentaho to support enterprise data workflows. • Implement and maintain data movement, transformation, and integration across multiple systems. • Ensure seamless data exchange between cloud, on-prem, and hybrid environments. • Work with Globalscape FTP for secure file transfers and automation. API Development and Integration: • Develop, consume, and integrate RESTful and SOAP APIs to facilitate data. • Work with API gateways and authentication methods such Oauth, JWT, certificate, and API keys. • Implement and optimize API-based data extractions and real-time data integrations Data Quality & Governance: • Implement data validation, cleansing, and enrichment techniques. • Develop and execute data reconciliation processes to ensure accuracy and completeness. • Adhere to data governance policies and security compliance standards. BAU Support & Performance Optimization: • Troubleshoot and resolve ETL failures, data load issues, and performance bottlenecks. • Optimize SQL stored procedures and complex queries for better performance. • Support ongoing enhancements and provide operational support for existing data pipelines. Collaboration & Documentation: • Work closely with Data Analysts, Business Analysts, and stakeholders to understand data needs. • Document ETL processes, data mappings, and workflows for maintainability and knowledge sharing. • Provide guidance and best practices to ensure scalability and efficiency of data solutions. Required Skills & Experience: • 7+ years of experience in ETL development, data integration, and SQL scripting. • Strong expertise in Azure Databricks, ADF (Azure Data Factory), and Pentaho. • Experience handling secure file transfers using Globalscape FTP. • Hands-on experience in developing and consuming APIs (REST/SOAP). • Experience working with API security protocols (Oauth, JWT, API Keys, etc.,). • Proficiency in SQL, stored procedures, performance tuning, and query optimization. • Understanding of data modeling, data warehousing, and data governance best practices. • Hands-on experience with cloud-based data platforms (Azure/AWS) is a plus. • Strong problem-solving skills, troubleshooting abilities, and ability to work independently. • Excellent communication skills and ability to work in a fast-paced environment. Preferred Qualifications: • Experience working in large-scale enterprise data integration projects. • Knowledge of Python, PySpark for big data processing. • Familiarity with CI/CD for data pipelines (Azure DevOps, GitHub Actions, etc.). Education & Certifications • Bachelor's or Master's degree in a relevant field like Computer science, Data Engineering or related technical field Nice to have below certifications: • Databricks certified Data Engineer • Azure Data Engineer associate. TRIGYN TECHNOLOGIES, INC. is an EQUAL OPPORTUNITY EMPLOYER and has been in business for 35 years. TRIGYN is an ISO 27001:2022 and CMMI Level 5 certified company.

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