Did you know that Accenture is leading the digital transformation in the World?
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.
Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects
We are seeking a skilled Cloud Data Engineer with experience in cloud platforms and modern data architectures to design, develop, and maintain scalable data solutions using Snowflake, Google Cloud, and Amazon Web Services. This role will focus on building reliable data pipelines, optimizing cloud infrastructure, and enabling data-driven decision-making across the organization.
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Design, develop, and maintain cloud-based data architectures and solutions.
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Build and optimize data warehouses and analytics solutions using Snowflake.
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Manage and support cloud services within Google Cloud and Amazon Web Services environments.
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Develop, automate, and monitor ETL/ELT pipelines and data workflows.
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Ensure data quality, security, governance, and high availability.
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Optimize system performance, scalability, and cloud costs.
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Collaborate with cross-functional teams including analytics, BI, engineering, and business stakeholders.
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Create and maintain technical documentation and best practices.
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Hands-on experience with Snowflake.
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Strong knowledge of Google Cloud and Amazon Web Services services.
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Advanced SQL and data modeling skills.
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Experience building ETL/ELT processes and data pipelines.
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Familiarity with Python, Terraform, CI/CD pipelines, or infrastructure automation tools.
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Understanding of cloud data ecosystems, data warehousing, and analytics platforms.
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Strong problem-solving and communication skills.
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AWS, GCP, or Snowflake certifications.
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Experience with cloud migration projects.
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Knowledge of Data Lake, Data Mesh, or modern data architecture concepts.
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Experience working in Agile environments.
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Analytical mindset.
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Strong communication and collaboration skills.
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Proactive and results-oriented approach.
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Ability to work independently and within cross-functional teams.
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