Azure Data Engineer
4 weeks ago
Responsibilities :
- Design and develop business-critical backend systems using high-quality data pipelines.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure databricks and Azure Datafactory.
- Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond.
- Build data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Ability to automate data pipelines using LogicApps, Devops
- Perform root cause analysis on external and internal processes and data to identify opportunities for improvement
- Adopt for change, always open to replacing what you built yesterday with something better today.
- Work with all stakeholders to design and code large scale batch and real-time data pipelines on the Azure.
- Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability
Requirements :
- A bachelor's degree in computer science or equivalent
- 5+ years of experience in a Data Engineer
- Experience with Azure big data tools: Azure Databricks, Azure Synapse, ADLS, Azure Datafactory
- Experience with relational SQL and synapse.
- Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools
- Experience with data pipeline and workflow management tools: ADF and Logic Apps
- Experience with Azure cloud services: Azure Databricks, Azure SQL DB, Azure Synapse
- Experience with scripting languages Python.
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