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# Data Engineer - 6338878

- **Company:** Accenture
- **Location:** Miami, FL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $146,994.0 - $167,794.0
- **Contract:** Permanent contract
- **Skills:** Unit Testing, Microsoft Azure, Information Engineering, Data Warehousing, Python (Programming Language), Performance Tuning, SQL Databases, Enterprise Data Management, Data Ingestion, Azure Data Factory, Data Lakes, Pyspark, Integration Tests, Google Cloud Functions, Cosmos DB, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67e35ee20bdd926d

## About the Role

Do you have experience in User acceptance testing?, Do you have a Associate's degree?, * Minimum of 3 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, * 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

## Description

Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions will be key as you contribute in providing solutions to work related problems. Let's work together to achieve greatness!, * 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


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