Data Engineer at Onepoint developing cloud - native architectures and scalable data solutions. Collaborating on data processing pipelines and guiding clients on best practices.
About the role
- Data Engineer designing the data platform and driving insights for Bosta's logistics operations. Leading the data team and optimizing data processes as the company expands.
Responsibilities
- Design our data platform, set engineering standards, and drive operational insights.
- Lead the development of our data team and processes as the company expands.
- Architect and implement robust data integration pipelines.
- Optimize data transformation workflows to improve performance, scalability, and maintainability.
- Ensure reliability, security, and availability of the data infrastructure.
Requirements
- Minimum 4+ years of experience as a Data Engineer (preferably in data-driven companies or fast-paced startups).
- Proven experience designing and implementing data integration and ETL pipelines using tools such as Apache Airflow,
- Airbyte, or cloud-based ETL solutions.
- Strong hands-on experience with data infrastructure, including data lakes, data warehouses, and real-time streaming
- platforms (e.g., Elastic, Google BigQuery, MongoDB).
- Proficiency in Python or Java, and excellent SQL skills for building efficient transformations and analytical queries.
- Experience with cloud computing platforms such as AWS and services like Lambda, EC2, S3, and IAM.
- Demonstrated ability to establish data engineering standards, processes, and documentation.
- Experience mentoring junior engineers or leading small technical initiatives is a strong plus.
- Excellent problem-solving skills, strong communication abilities, and the capability to collaborate effectively with cross-
- functional teams.
Job title
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Not specified
Degree requirement
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