All vacancies
Data Engineer (Spark)
Addepto
Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified recentlyHimalayas
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: Development and maintenance of a large platform for processing automotive data.
Responsibilities
- Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
- Design and implement data pipelines that process large volumes of data in both streaming and batch modes.
- Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.
- Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.
- Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources.
- Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing.
- Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads.
- Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.
- Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for…
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 21 Sept 2026 (today)
- Last verified
- 22 Sept 2026
- Apply by
- 20 Nov 2026