AgreeYa Solutions - Basking Ridge, NJ

posted 11 days ago

Full-time - Mid Level
Basking Ridge, NJ
101-250 employees
Professional, Scientific, and Technical Services

About the position

The SQL Server Developer position at AgreeYa Solutions involves designing, developing, and maintaining data capabilities and infrastructure to enhance data products and solutions. The role requires extensive experience in data engineering, focusing on creating scalable data pipelines and ensuring data quality and performance. The developer will collaborate with technical teams and business stakeholders to translate data requirements into technical solutions, while also optimizing data processes and troubleshooting issues.

Responsibilities

  • Design, develop, and maintain new data capabilities and infrastructure for utilizing third-party and partner data.
  • Implement scalable data pipelines and ETL/ELT processes using SSIS, Python, and API integrations.
  • Identify existing data capability gaps and provide subject matter expertise for remediation.
  • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions.
  • Work with large datasets, ensuring data quality, accuracy, and performance.
  • Implement data transformation, integration, and validation processes to support analytics and reporting needs.
  • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
  • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security.
  • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
  • Document data processes, data lineage, and technical specifications for future reference.
  • Review and analyze existing data collection systems, making recommendations for improvement.

Requirements

  • 10+ years of experience in data engineering.
  • Strong knowledge of SQL and NoSQL databases.
  • Experience with data integration and transformation tools (SSIS).
  • Familiarity with BI technologies (e.g., Microsoft Power BI, Tableau).
  • Ability to create strategies for data organization and governance.
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