Sustainability Tech & Data Intern

Accenture PLC; Jakarta Pusat; Presencial; IDR 66.960.000 - 89.280.000; Jornada completa

Descripción de la vacante

Accenture Indonesia offers an internship in Jakarta to immerse you in sustainability projects and build transferable skills across industries. You will join real-life projects, gain experience with emerging technologies, and strengthen your Sustainability Quotient.

Your role may span multiple industries and include teamwork on data pipelines, ETL/ELT processes, and data quality improvements, with a fast-paced, dynamic team environment.

Formación

• Pursuing a bachelor’s degree from a recognized university.
• Available for at least 2 months period.
• Willingness to learn and an interest in sustainability.

Responsabilidades

• Understand and translate requirements into business and technology solutions.
• Design, build and configure applications to meet business process and application requirements.
• Analyze and deliver quality functional designs and ensure technology solutions meet requirements.
• Support data collection, processing, transformation, and validation from various data sources.
• Assist in developing and maintaining data pipelines and ETL/ELT processes.
• Work with SQL, databases, and Python to support data-related requirements.
• Assist in analyzing, troubleshooting, and improving data quality and workflows.
• Collaborate with team members to understand data requirements and translate them into technology solutions.

Conocimientos

Analytical skills

Problem-solving

Willingness to learn

Team collaboration

Educación

Bachelor’s degree student

Herramientas

SQL

Python

Data processing

Descripción del empleo

Accenture Indonesia offers an internship in Jakarta to immerse you in sustainability projects and build transferable skills across industries. You will join real-life projects, gain experience with emerging technologies, and strengthen your Sustainability Quotient.

Your role may span multiple industries and include teamwork on data pipelines, ETL/ELT processes, and data quality improvements, with a fast-paced, dynamic team environment.