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Data Engineer
| Company | Accenture |
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| Location | New York, NY, USA |
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| Salary | $51.06 – $61.06 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Associate’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Minimum of 4 years of work experience with one or more of the following: Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps, Python
Responsibilities
- Create new data pipelines leveraging existing data ingestion frameworks, tools
- Orchestrate data pipelines using the Azure Data Factory service.
- Develop/Enhance data transformations based on the requirements to parse, transform and load data into Enterprise Data Lake, Delta Lake, Enterprise DWH (Synapse Analytics)
- Perform Unit Testing, coordinate integration testing and UAT Create HLD/DD/runbooks for the data pipelines
- Configure compute, DQ Rules, Maintenance Performance tuning/optimization
Preferred Qualifications
- Azure Function Apps
- Azure Logic Apps
- Precisely & COSMOS DB
- Advanced proficiency in PySpark.
- Advanced proficiency in Microsoft Azure Databricks, Azure DevOps, Databricks Delta Live Tables and Azure Data Factory.
- Bachelor’s or Associate’s degree
