Data Engineer

Accenture•Walnut Creek, CA

5d•Onsite

About The Position

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.

Requirements

Minimum 5 years of experience with advanced proficiency in Data Engineering, along with expert proficiency in Data Pipelines and Data Processing
Advance proficiency in Python, SQL, Data Pipelines and Data Processing
High School Diploma or GED

Responsibilities

Designing, developing, and maintaining data solutions that support data generation, collection, and processing.
Creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems.
Being a subject matter expert, collaborating and managing the team to perform effectively, taking responsibility for team decisions, engaging with multiple teams, and contributing to key decisions.
Providing solutions to problems that impact multiple teams.
Leading the design and optimization of scalable data architectures to support evolving business needs.
Collaborating closely with cross-functional teams to align data solutions with organizational goals and technical standards.
Providing technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement.
Analyzing complex data challenges and developing innovative approaches to enhance data reliability and efficiency.
Driving the adoption of best practices in data management and pipeline development to elevate overall quality.