
Senior Data Pipeline Architect
1 day ago
We are seeking a highly skilled Data Engineer to fill a position with our organization. The ideal candidate will have advanced working knowledge and experience with relational and non-relational databases, as well as hands-on experience in Azure Databricks utilizing Spark to develop Extract Transform Load pipelines.
Key Responsibilities:- Built and optimized Big Data pipelines, architectures, and datasets
- Worked with structured and unstructured datasets using data analysis, manipulation, and statistical modeling
- Deployed data pipelines through Continuous Integration Continuous Deployment using Azure DevOps
Requirements:
- 5-7 years of practical experience as Data Engineer
- Azure cloud stack in-production experience
- Bachelor's degree in computer science, software engineering, information technology, or a related field
Skills:
- Advanced working knowledge and experience with relational and non-relational databases
- Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines
- Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages
- Familiarity with several technologies including Event Hub, Docker, Azure Kubernetes Service, Azure Data Warehouse, API Azure, Azure Function, Power BI, Azure Cognitive Services
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GCP Data Pipeline Architect
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