About the Company: Founded in 2006, is headquartered in Boston. It has offices across five different geographies and boasts over 900+ professionals in the technology field. Specialized technical services and solutions are provided by the company in the areas of product development, especially in the accounting domain.
Roles and Responsibilities:
- Design, build, and maintain scalable, high-performance data pipelines and ETL/ELT processes across diverse database platforms.
- Architect and optimize data storage solutions to ensure reliability, security, and scalability.
- Leverage generative AI tools and models to enhance data engineering workflows, drive automation, and improve insight generation.
- Collaborate with cross-functional teams (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements.
- Develop and enforce data quality standards, governance policies, and monitoring systems to ensure data integrity.
- Create and maintain comprehensive documentation for data systems, workflows, and models.
- Implement data modeling best practices and optimize data retrieval processes for better performance.
- Stay up-to-date with emerging technologies and bring innovative solutions to the team.