Data and Cloud Implementation Sr Analyst (Data on Cloud, Integration with Cloud) - 6261990

Accenture•Morristown, TN

3d•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. The Senior Data and Cloud Implementation Sr Analyst with Apache Airflow experience sits at the intersection of data engineering and analytics engineering. They are responsible for designing, building, and maintaining automated data pipelines in cloud environments to support business intelligence and analytical needs.

Requirements

Minimum 5 years of hands on experience with workflow orchestration for data driven solutions
Possess expertise in optimizing data integration pipelines using ETL tools
Experience with task dependency tuning and scheduling for scalability
Experience with Airflow or similar batch processing tools
Associate's Degree

Nice To Haves

Familiarity with Operational

Responsibilities

Develop and maintain complex, modular, and idempotent Directed Acyclic Graphs (DAGs) using Python to automate ETL processes.
Lead large-scale architecture initiatives and enterprise rollouts.
Mentor and guide teams in best practices.
Design, develop, and deploy data pipelines and storage solutions in cloud platforms, ensuring scalable infrastructure.
Implement and migrate data pipelines to cloud platforms.
Have proficiency with OpenShift containers and containerized deployments.
Have solid understanding of CI/CD automation and pipeline management.
Have exposure to shared services environments and enterprise-level governance.