Senior Data Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Senior Data Engineer

Location(s): White Plains, NY

We are seeking a Senior Data Engineer to join our Data Services team. The ideal candidate will be an individual contributor responsible for developing ETL workflows, API integrations, supporting business-as-usual (BAU) processes, and collaborating with cross-functional teams to ensure smooth data integration, quality, and governance. This role requires expertise in Azure Databricks, ADF, Pentaho, Globalscape FTP, API Development, SQL stored procedures, and complex queries.

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 exchange.
• Work with API gateways and authentication methods such as 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.