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!

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.