
Cloud Data Solutions Expert
2 days ago
About the Job
This Senior Data Engineer position requires expertise in designing, building, and maintaining high-performance, large-scale complex data architectures using Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large-scale data applications.
The ideal candidate will have a strong background in data engineering with expertise in Databricks, Azure, DevOps, and experience with cloud-based large-scale data applications. They will be skilled in programming languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, migration, storage, processing, and manipulation.
A strong understanding of big data principles, techniques, and best practices is required, along with experience with scalable and distributed Data Processing Technologies such as Spark/PySpark, DBT, and Kafka. The candidate will also be skilled in designing and implementing efficient ELT/ETL processes in Azure and Databricks and using open-source solutions being able to develop custom integration solutions as needed.
Key Responsibilities
- Design, develop, and maintain high-performance, large-scale, complex data architectures.
- Construct and fine-tune Apache Spark jobs and clusters within the Databricks platform.
- Migrate out of Azure Synapse to Azure Data Lake or other technologies.
- Evaluate and implement new technologies and tools to improve data integration, data processing, storage, and analysis.
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