Azure Data Engineer (Python/SQL)

Accenture Flex Job Opportunity

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Job 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.

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

Basic Qualifications

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

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

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here.

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