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.
Key Responsibilities:
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing.
Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions.
Providing solutions to problems that impact multiple teams is a critical part of this role.
Lead the design and optimization of scalable data architectures to support evolving business needs.
Collaborate closely with cross-functional teams to align data solutions with organizational goals and technical standards.
Provide technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement.
Analyze complex data challenges and develop innovative approaches to enhance data reliability and efficiency.
Drive the adoption of best practices in data management and pipeline development to elevate overall quality.
Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features.
Build reporting dashboards and visualizations to design, create and track campaign/program KPIs.
Perform analyses on large data sets to understand drivers of operational efficiency.
Manage end-to-end process of analytic tooling feature development, including request intake, requirements evaluation, cross-functional team alignment, feature execution, QA testing, and stakeholder communication.
Consult with business analysts, technical data SMEs, and cross-functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actions.
Interface with other data engineering, product, and data science teams to implement client needs and initiatives.