
Big Data Solutions Architect
6 days ago
We are seeking an experienced Cloud Computing Engineer to join our team and play a key role in the development of cloud-based data solutions.
The ideal candidate will have a strong background in big data processing, Spark programming, and working on the Azure cloud platform.
- Design and develop scalable data pipelines using Apache Spark on Azure Databricks.
- Ingest, transform, and analyze large datasets from multiple sources.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
- Optimize Databricks jobs for performance and cost efficiency.
- Implement CI/CD pipelines for Databricks notebooks and jobs.
- Manage data quality, monitoring, and governance within the Databricks environment.
Our team is responsible for designing, building, and maintaining scalable data pipelines and solutions using Azure Databricks and other related technologies.
The ideal candidate will have hands-on experience with Azure Databricks and Apache Spark (PySpark preferred), as well as a strong knowledge of Azure ecosystem components such as ADF, ADLS, Synapse, Azure DevOps, etc.
They will also be proficient in Python and SQL, with experience in Delta Lake, versioned data storage, and streaming (Structured Streaming).
A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with 38 years of experience in data engineering or a similar role.
If you have a passion for data engineering and want to work on challenging projects, please submit your application.
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