Azure Data Engineer - 5619712

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: Looking for a Data Engineer to join the team to develop pipelines to migrate and transform data from the Client's on-premise and other data sources to Azure Data Lake. The role will work with Data Analysts to gather requirements, work with Client teams to setup the interface, design & develop data pipelines using good design practices, including different Ingestion patterns to ingest data into the data lake. Responsibilities: * Create data driven generic framework components using Databricks, PySpark and the other data engineering tools * 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 * Perform UnitTesting, coordinate integration testing and UAT * Create HLD/DD/runbooks for the data pipelines * Analyze source data, define DQ Rules to monitor and improve Data Quality * Performance tuning/optimization Qualification Basic Qualifications: * Minimum of 3 years of Data Engineering with Python Preferred Qualifications: * Databricks Platform * Databricks SQL * Microsoft Azure Cloud Services * Python on Azure * 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location: California - $61.73 - $71.63 Colorado - $61.73 - $71.63 District of Columbia - $61.73 - $71.63 Illinois - $61.73 - $71.63 Minnesota - $61.73 - $71.63 Maryland - $61.73 - $71.63 New York - $61.73 - $71.63 Washington - $61.73 - $71.63 #LI-NA-FY25 Locations