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# Azure Data Engineer - 6461034

- **Company:** Accenture
- **Location:** Cleveland, OH, United States
- **Experience:** Experienced
- **Salary:** $99,195.0 - $119,995.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Extract Transform Load (ETL), Data Migration, Data Systems, Azure Data Factory, Pyspark, Google Cloud Functions, Azure Synapse Analytics, Data Pipelines, Databricks, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://dejobs.org/x/x/A9924C76D4B14B8A9A5E1139D3D19498/job/

## About the Role

* Minimum of 3 or more years of work experience with one or more of the following: Databricks, Pyspark, Azure Data Factory, Azure Synapse, Delta live tables, Azure Function Apps

## 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!

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your main tasks will include creating data pipelines, ensuring data quality, and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems. You are expected to be an SME, collaborate and manage the team to perform. You will be responsible for team decisions and will engage with multiple teams and contribute to key decisions. Additionally, you will provide solutions to problems for your immediate team and across multiple teams.

Additional Responsibilities:

 * Develop innovative data solutions to optimize data generation, collection, and processing.
 * Implement advanced ETL processes to ensure efficient data migration and deployment.
 * Collaborate with cross-functional teams to identify and address data quality issues.
 * Stay updated with the latest industry trends and technologies to continuously improve data solutions.
 * Provide technical guidance and mentorship to junior team members.


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