Data Eng, Mgmt & Governance Specialist

Accenture México

Monterrey

Sur place

MXN 600 000 - 860 000

Plein temps

Il y a 19 heures
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Avantages offerts par ce poste

Career development
Direct contact with experts
Access to innovative tools
Training programs
International projects
Collaborative environment

Résumé du poste

Accenture México is seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions using Snowflake, Google Cloud, and AWS. You will build reliable data pipelines, optimize cloud infrastructure, and enable data-driven decision-making across the organization.

The role focuses on data warehousing, ETL/ELT processes, and strong collaboration with analytics, BI, and engineering teams to deliver secure, high-availability data platforms.

Qualifications

  • Experience designing cloud data architectures and pipelines.
  • Experience with Snowflake data warehouses.
  • Proficient in SQL and data modeling.
  • Experience with GCP and AWS services.

Responsabilités

  • Design, develop, and maintain cloud data architectures.
  • Build and optimize data warehouses using Snowflake.
  • Manage cloud services in GCP and AWS.
  • Develop, automate, and monitor ETL/ELT pipelines.
  • Ensure data quality, security, governance, and availability.
  • Optimize performance and cloud costs.
  • Collaborate with analytics, BI, engineering, and stakeholders.
  • Create and maintain technical documentation and best practices.

Connaissances

Snowflake
Google Cloud
AWS
SQL
Data modeling
ETL/ELT pipelines
Python
Terraform
CI/CD
Infrastructure automation
Data warehousing
Communication
Problem solving

Outils

Terraform
CI/CD pipelines
Git
Apache Airflow

Description du poste

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.

Responsibilities
  • Design, develop, and maintain cloud-based data architectures and solutions.
  • Build and optimize data warehouses and analytics solutions using Snowflake.
  • Manage and support cloud services within Google Cloud and Amazon Web Services environments.
  • Develop, automate, and monitor ETL/ELT pipelines and data workflows.
  • Ensure data quality, security, governance, and high availability.
  • Optimize system performance, scalability, and cloud costs.
  • Collaborate with cross-functional teams including analytics, BI, engineering, and business stakeholders.
  • Create and maintain technical documentation and best practices.
Requirements
  • Hands-on experience with Snowflake.
  • Strong knowledge of Google Cloud and Amazon Web Services services.
  • Advanced SQL and data modeling skills.
  • Experience building ETL/ELT processes and data pipelines.
  • Familiarity with Python, Terraform, CI/CD pipelines, or infrastructure automation tools.
  • Understanding of cloud data ecosystems, data warehousing, and analytics platforms.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • AWS, GCP, or Snowflake certifications.
  • Experience with cloud migration projects.
  • Knowledge of Data Lake, Data Mesh, or modern data architecture concepts.
  • Experience working in Agile environments.
Soft Skills
  • Analytical mindset.
  • Strong communication and collaboration skills.
  • Proactive and results-oriented approach.
  • Ability to work independently and within cross-functional teams.
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