App Automation Eng Senior Analyst

Designation: App Automation Eng Senior Analyst

About Accenture

Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

This role requires a strategic thinker who can collaborate with cross-functional teams to drive our data strategy and ensure the optimal performance of our data systems.

• Expertise in Python, with a deep understanding of its data-related libraries.
• Proficient in SQL and experience with SQL database design.
• Strong experience in Azure cloud services, including troubleshooting and optimizing cloud- based environments.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Excellent problem-solving and troubleshooting skills.
• Experience in code review and debugging in a collaborative project setting.
• Excellent verbal and written communication skills.
• Ability to work in a fast-paced, team-oriented environment.
• Strong understanding of the business and a passion for the mission of Organization

• Your day to day interactions are with peers within Accenture
• You are likely to have some interaction with clients and/or Accenture management
• You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments
• Decisions that are made by you impact your own work and may impact the work of others
• In this role you would be an individual contributor and/or oversee a small work effort and/or team
• Please note that this role may require you to work in rotational shifts

• Ensure systems meet business requirements and industry practices.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create custom software components and analytics applications.
• Recommend ways to improve data reliability, efficiency, and quality.
• Conduct research for industry and business questions.
• Use large data sets to address business issues.
• Use data to discover tasks that can be automated.
• Design, implement, and monitor data platforms to ensure optimal performance and security.
• Conduct code reviews, troubleshoot and fix bugs to ensure robust and sustainable codebase.
• Collaborate closely with the support team to diagnose and resolve issues in data processing systems, ensuring minimal downtime and optimal performance.
• Analyze and comprehend existing data pipelines, systems, and processes to identify and troubleshoot issues effectively.
• Develop, test, and implement code changes to fix bugs and improve the efficiency and reliability of data pipelines.
• Review and validate change requests from stakeholders, ensuring they align with system capabilities and business objectives.
• Implement robust monitoring solutions to proactively detect and address issues in data pipelines and related infrastructure.
• Coordinate with data architects and other team members to ensure that changes are in line with the overall architecture and data strategy.
• Document all changes, bug fixes, and updates meticulously, maintaining clear and comprehensive records for future reference and compliance.
• Provide technical guidance and support to other team members, promoting a culture of continuous learning and improvement.