Python Data Engineer

Accenture

Accenture, a leader in professional services, integrates digital and security solutions across industries. The Data & AI team, comprising over 45,000 experts, is committed to transforming businesses with data-centric innovations. This role supports Accenture's strategy to leverage data and AI at the forefront of technological advancement.

In this role you can expect to have the responsibilities:

• Develop and deploy robust Python-based data pipelines for diverse data types.
• Implement data solutions using batch, real-time, and event-driven frameworks.
• Ensure data integrity and maintainability in code development.
• Apply modern data architecture principles like data mesh and knowledge graphs.
• Collaborate with AI and ML professionals to create AI-ready datasets.
• Participate in Agile teams, engaging in code reviews and DevOps practices.
• Use agile development tools for project management and workflow optimization.
• Ensure compliance and security of data products with appropriate controls.

This role comes with the following benefits:

• Commitment to diversity and inclusion in the workplace.
• Equal employment opportunities for all applicants.
• Veteran employment programs.

This role requires you to have:

• Proficiency in Python and related libraries like Pandas and NumPy.
• Experience with cloud data platforms such as AWS, GCP, or Azure.
• Knowledge of modern data engineering practices and architectures.
• Industry experience in sectors like Finance, Healthcare, or Technology.

You would benefit from having:

• Experience with LLMs and AI frameworks.
• Familiarity with MLOps tools like MLFlow and Kubeflow.
• DevOps experience, including CI/CD and containerization.

This role emphasizes Accenture's dedication to diversity and inclusivity, providing equal opportunities regardless of personal differences, and a focus on creating a supportive work environment. Accenture ensures compliance with employment laws and nondiscriminatory practices.