Data Engineer

As a Data Engineer you will manage and maintain Sylndr’s data warehouses, ensuring the efficient processing and storage of large-scale datasets and enabling relevant stakeholders to access the data they need to drive their decisions. You will be part of a multi-cultural and dynamic team that takes pride and ownership of our work and encourages positive disruption! 

What You’ll Do!

• Maintain and build data pipelines from different sources to a centralized warehouse
• Deploy and manage kubernetes deployments ensuring scalability and reliability.
• Work on data modeling and schema design for efficient data storage and retrieval in Google BigQuery.
• Maintain documentation of data pipelines and system configurations.
• Own and maintain the integrity of Sylndr’s data
• Troubleshoot data related issues and performance bottlenecks.

Who You Are!

• Minimum of 3 years in a data engineering role.
• Excellent knowledge of the Python programming language
• Excellent knowledge of the Apache Airflow v.2.0+ and experience with the taskflow API.
• Excellent knowledge of data warehousing concepts (experience with BigQuery is preferred)
• Excellent Knowledge of data infrastructure concepts
• Experience in managing and orchestrating containerized applications using Kubernetes.
• Background in automating deployment processes and integrating containerized applications into continuous integration and continuous delivery (CI/CD) pipelines.
• Knowledge of machine learning concepts is a PLUS
• Familiarity with DBT (Data Modeling Tool) is a PLUS
• Having an automotive background is a PLUS