
Cloud Data Architectural Specialist
1 day ago
We are seeking an experienced Senior Data Engineer to lead the design and maintenance of our cloud-based data architectures.
This individual will be responsible for developing scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.
The ideal candidate will possess expertise in:
- Built scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.
- Performed data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.
- Designed and deployed data solutions on Azure with a focus on performance, security, and scalability.
- Developed and optimized ETL/ELT pipelines for structured and unstructured data from various sources.
- Automated data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards.
- Maintaining cloud-based data architectures.
- Deploying and optimizing data solutions.
- Developing and optimizing ETL/ELT pipelines.
- Automating data workflows.
Requirements include 4+ years of experience as a Senior Data Engineer, expertise in Azure Databricks, PySpark, and Apache Spark, experience in designing and deploying cloud-based data architectures, strong understanding of ETL/ELT pipelines and data pre-processing techniques, excellent problem-solving skills, and ability to work under pressure.
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