Build scalable GCP data pipelines and governance integrations, embedding metadata, lineage, and automation into secure enterprise data solutions while collaborating across engineering and business teams.
Data Engineer
📜 Description
- Build and maintain data pipelines, warehouses, lakes, and data hubs.
- Assemble complex datasets that meet business and technical requirements.
- Develop ETL infrastructure using SQL, event data, and AWS or other big data technologies.
- Create analytics tools and reports to surface business performance insights.
- Support stakeholders with data infrastructure needs and technical issues.
- Secure data across national boundaries, data centers, and AWS regions.
🛠️ Requirements
- 3 to 5 years of data engineering experience.
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Strong Python coding and advanced SQL skills.
- Experience with big data systems, pipelines, architectures, datasets, and ETL tools.
- Familiarity with Linux, AWS, Elasticsearch, and Kafka.
- Strong analytical skills and experience with complex, unstructured datasets.
- Experience improving data transformation, structures, metadata, dependencies, and workload management.
- Strong communication, project management, and organizational skills; able to work cross-functionally and learn new technologies.
Full job description
About Wahed:
Job Brief:
They will also ensure optimal data delivery architecture is consistent throughout ongoing projects. We are looking for candidates that are self-motivated and eager to learn new technologies, work well both within a team and on their own, and have an attention to detail.
Job Description:
Job Specification:
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