Join to apply for the Senior Data Engineer role at Perform
We are seeking a skilled Data Engineer with a strong software engineering foundation to join our dynamic team. In this role, you will design, develop, and deliver production-grade data solutions that drive business value. You will work closely with cross-functional teams to build scalable, reusable data pipelines and systems, ensuring high performance, reliability, and maintainability.
What You'll Do :
- Design and implement modular, reusable core shared libraries to support scalable data solutions.
- Develop and maintain robust data pipelines using Python to process and transform JSON and relational data.
- Collaborate with stakeholders to understand data requirements and deliver production-ready solutions.
- Optimize data workflows for performance, scalability, and reliability in production environments.
- Ensure data integrity, quality, and accessibility across systems and applications.
- Contribute to best practices for data engineering, including code reviews and documentation.
What You Bring :
Minimum of 4+ years delivering production-grade data solutions.Strong software engineering skills with a focus on modular design and reusable code.Proficiency in Python for data processing and pipeline development.Extensive experience working with JSON data and relational databases (e.g., SQL).Problem-Solving : Ability to architect efficient, scalable solutions for complex data challenges.Collaboration : Proven ability to work effectively with cross-functional teams.Nice to Have (Assets) :
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for data engineering tasks.Knowledge of data orchestration tools (e.g., Apache Airflow) or modern data frameworks.Seniority level
Not ApplicableEmployment type
OtherJob function
Information TechnologyJ-18808-Ljbffr