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Technology-Data Engineer

Accenture | 上海市 | CN

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Azure Databricks & Spark. • Create, maintain, and optimize data... ate, maintain, and optimize data......

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. You are expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. You must have master proficiency in Microsoft Azure Databricks. Having master proficiency in Microsoft Azure Apache Spark, expert proficiency in Data Engineering, Data Pipelines, and Data Processing will be advantageous.
  • Design and develop data solutions for data generation, collection, and processing using Microsoft Azure Databricks & Spark.
  • Create, maintain, and optimize data pipelines to ensure data quality and implement ETL processes to migrate and deploy data across systems.
  • Collaborate with team members to ensure and troubleshoot data pipeline performance issues and provide expert technical guidance (e.g., data modeling) and support throughout the implementation lifecycle.
  • Conduct rigorous system testing and troubleshooting to optimize the performance of data solutions.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. You are expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. You must have master proficiency in Microsoft Azure Databricks. Having master proficiency in Microsoft Azure Apache Spark, expert proficiency in Data Engineering, Data Pipelines, and Data Processing will be advantageous.
  • Design and develop data solutions for data generation, collection, and processing using Microsoft Azure Databricks & Spark.
  • Create, maintain, and optimize data pipelines to ensure data quality and implement ETL processes to migrate and deploy data across systems.
  • Collaborate with team members to ensure and troubleshoot data pipeline performance issues and provide expert technical guidance (e.g., data modeling) and support throughout the implementation lifecycle.
  • Conduct rigorous system testing and troubleshooting to optimize the performance of data solutions.

Information :

  • Company : Accenture
  • Position : Technology-Data Engineer
  • Location : 上海市
  • Country : CN

How to Submit an Application:

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Post Date : 05-06-2024

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