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2 days ago
A leading organization seeks an accomplished Data Engineer to contribute to the development of innovative data frameworks. As a senior member of our team, you will play a pivotal role in designing and implementing scalable data pipelines using cloud-native technologies.
Responsibilities include building robust data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other relevant tools. You will also develop and maintain ETL/ELT processes for structured and unstructured data, leveraging Azure Data Lake Gen2, Event Hub, and Azure Functions.
Key Responsibilities:- Design and Implement Scalable Data Pipelines
- Develop and Maintain ETL/ELT Processes
- Implement Change Data Capture, Streaming Pipelines, and Batch Ingestion
- Optimize Performance and Cost Across Data Workloads
- Define and Enforce Data Rules and Validations
As a senior data engineer, you will drive adoption of data cataloguing, profiling, and classification tools, collaborating with data stewards and compliance teams to ensure governance alignment.
Requirements include 4+ years in data engineering with at least 2+ years on Azure cloud platform. Hands-on experience with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, and Purview is essential, as well as proficiency in SQL, Py Spark, Python, and data orchestration tools.
Requirements:- 4+ Years in Data Engineering
- Hands-on Experience with Azure Tools
- Proficiency in Programming Languages
- Strong Understanding of Data Architecture Patterns
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