
Chief Data Architect
1 day ago
The company is seeking a seasoned Senior Data Engineer to join their team in designing, building, and maintaining data infrastructure required for integration, storage, processing, and analytics.
- The successful candidate will have extensive experience with Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large scale data applications.
- They will be responsible for architecting, designing, developing, testing, and maintaining high-performance, large-scale, complex data architectures that support data integration, storage, processing, orchestration, and infrastructure.
As part of the Aviation Industry, you will collaborate with multi-disciplined teams to achieve project objectives. The ideal candidate will have strong leadership skills and be able to mentor junior staff.
Key responsibilities include:
- Designing and implementing data pipelines using Apache Spark jobs and clusters within the Databricks platform.
- Migrating out of Azure Synapse to Azure Data Lake or other technologies.
Requirements:
- Extensive experience with Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large scale data applications.
- Strong leadership skills and ability to mentor junior staff.
- Collaboration skills and ability to work well in a team environment.
Benefits:
- Opportunity to work on challenging projects and contribute to the growth of the company.
- Collaborative and dynamic work environment.
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