Data Engineer / ETL Developer

Accenture México; Monterrey; Presencial; MXN 279.000 - 390.600; Jornada completa

Descripción de la vacante

A leading consulting firm is seeking a Data Engineer / ETL Developer to join their team in Monterrey, Nuevo León. This role involves designing, developing, and maintaining data solutions that enhance data quality and support business needs. Candidates should have a Bachelor's Degree in Computer Science or a related field and advanced skills in data analysis. This full-time position offers the chance to work on scalable data solutions and collaborate with cross-functional teams to meet data needs.

Formación

• Advanced proficiency in Data Analysis & Interpretation.
• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• Strong problem‑solving skills.

Responsabilidades

• Develop reusable workflows for data quality and transformation.
• Build scalable data pipelines for data ingestion.
• Deploy data solutions into production environments.

Conocimientos

Data Analysis & Interpretation

Problem-solving

Collaboration

Educación

Bachelor’s Degree in Computer Science or Data Science

Descripción del empleo

Join to apply for the Data Engineer / ETL Developer role at Accenture México

Embrace the opportunity to dive into the world of data analysis and interpretation! As a Data Engineer, you will design, develop, and maintain data solutions that enable efficient data generation, collection, and processing. This role is ideal for individuals passionate about transforming data into actionable insights and building scalable solutions that support business needs.

Key Responsibilities

• Develop reusable workflows to enhance data quality and transformation processes.
• Build scalable data pipelines for efficient data ingestion and processing.
• Deploy data solutions into production environments to meet business requirements.
• Migrate data from legacy systems to modern cloud architectures.
• Automate data flows to enable seamless consumption and reporting.
• Implement ETL processes for data migration and deployment across systems.
• Collaborate with cross-functional teams to identify data needs and requirements.
• Monitor and optimize data pipelines for performance and reliability.
• Document data processes and workflows for clarity and knowledge sharing.
• Stay updated with industry trends and best practices in data engineering.

What You’ll Need

• Advanced proficiency in Data Analysis & Interpretation.
• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• Ability to work independently and become a subject matter expert.
• Strong problem‑solving skills and active participation in team discussions.

Bonus Points If You Have

• Beginner proficiency in:
• Data Access
• Data Engineering
• Data Migrations

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Business Consulting and Services

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