Join our dynamic team as a Senior Data Engineer, focusing on the automotive domain. This role requires extensive experience in building and optimizing data solutions within a challenging industry.

You will leverage your expertise in big data technologies and cloud platforms to drive innovation and efficiency in our data operations. This is an excellent opportunity to contribute to critical projects and grow your career in data engineering.

Design, develop, and maintain robust data pipelines and ETL processes. Implement and manage data warehousing solutions, ensuring data integrity and accessibility. Optimize data processing and analysis workflows for enhanced performance and scalability. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Utilize cloud services, particularly GCP, for data storage, processing, and analytics.

A minimum of 6 to 10 years of professional experience in data engineering, with a strong background in the automotive sector. Advanced skills in Hadoop and Apache Spark are essential, alongside proficiency in Python for scripting and pipeline development. Solid understanding of data warehousing concepts and experience with relational databases (RDBMS). Familiarity with cloud services, especially Google Cloud Platform (GCP), and infrastructure as code tools like Terraform. Experience orchestrating complex data workflows with Apache Airflow is required.