Social Network Platform - Data Engineer Role
Herzumis is seeking a Data Engineer to join our team and support one of our clients.
Key Responsibilities:
- Design and implement data pipelines in collaboration with data users and engineering teams.
- Ensure reliability, data quality, and optimal performance of data assets.
- Translate complex business and analytics requirements into high-quality data assets.
- Deliver high-quality, maintainable code with a focus on simplicity and performance.
- Redesign and implement existing data pipelines using the latest technologies and best practices.
- Collaborate with solution engineers, data scientists, and product owners to deliver end-to-end products.
- Support partners with proof of concept initiatives and address data-related technical questions.
Required Skills:
- Strong software/data engineering skills, proficiency in at least one programming language (Python preferred).
- Good knowledge of distributed computing frameworks, with PySpark being essential.
- Familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure.
- Understanding of data modeling and architecture concepts.
- Experience with CI/CD, data testing, and monitoring.
- Knowledge of Delta Lake protocol and Lakehouse architectures.
- Experience with Databricks and Azure data services such as Azure Data Factory, Synapse Analytics, or Fabric.
Additional Skills:
- Ability to work effectively with both technical and non-technical team members.
- Strong communication skills to explain complex technical concepts clearly.
- Proficiency in English.
- YAML experience is a plus.
Work Mode:
Full remote.
Join Us!
Become part of a team driven by innovation, talent, and a commitment to excellence. Your next career step starts here.
This announcement is addressed to all genders and nationalities, in accordance with applicable laws.