Data Engineer II

Data infrastructure and processing:

• Lead the design and development of data pipelines for seamless integration of data from various sources into the G2 Data Platform.

• Optimize data pipelines, ensuring cost effectiveness, scalability, and reliability.

• Constantly innovate to make the data stack follow the latest trends.

• Service data requests from various users of the G2 data platform.

• Actively contribute to data modeling and design reviews, striving for improved adoption and efficiency.

• Execute the project tasks aligned with project timelines and objectives under the guidance of senior team members.

• Develop repeatable and scalable code that processes data to ensure data availability in the platform is as real-time as possible.

• Actively contribute to the development and advancement of the data platform.

• Promote architectural changes that increase the scalability of our data infrastructure while maintaining efficiency in all phases of the development lifecycle.

Data quality assurance and governance :

• Learn and adopt best practices in data engineering to contribute to robust solutions.

• Own the implementation of data quality and data governance initiatives and drive them to completion.

• Recommend and ensure the data platform follows privacy and security standards and requirements.

• Document data architecture, data model, and workflows for how it should be consumed.

Mentorship and Collaboration :

• Guide junior engineers by providing technical support, expertise, best practices, and constructive feedback on data engineering techniques.

• Collaborate with peers, actively participating in knowledge sharing sessions and contributing to a collaborative team environment.

  • Seek guidance and mentorship from senior team members to enhance technical and analytical skills.