What are the responsibilities and job description for the Data Engineering position at Accenture Operations?
ccenture 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:
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
Bay Area preferred
Basic Qualifications:
Minimum 5 years of Data Engineering experience
High School Diploma or GED
Preferred Qualifications:
Experience with Python and SQL programming languages
Bachelor's or Associate's
