Job description

## Job Description Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. 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. Let's work together to achieve greatness! 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 ## ## Qualification Basic Qualifications: - Minimum of 3 years of work experience with one or more of the following: Python, Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps 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

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