Associate Data Engineering L2 (GCP)

Publicis Sapient; Ciudad de México; On-site; MXN 300,000 - 600,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to join their vibrant team. In this role, you will design and maintain scalable data pipelines using Google Cloud Platform services, enabling the organization to leverage data for impactful business insights. Collaborating with data scientists and analysts, you will ensure data quality and integrity while optimizing workflows for performance. This position offers an exciting opportunity to work in a dynamic environment where your contributions will drive innovation and enhance data-driven decision-making. If you are passionate about data engineering and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• Bachelor's degree in Computer Science or Engineering required.
• Proven experience as a Data Engineer or similar role.

Responsibilities

• Design and maintain scalable data pipelines using GCP services.
• Collaborate with teams to deliver data solutions and ensure quality.

Skills

Python

Problem-solving skills

Communication skills

Data integration solutions

ETL processes

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Docker

Kubernetes

Looker

Tableau

Job description

• Rio Lerma No. 232 Mexico City 06500 Mexico

We are looking for a talented Data Engineer to join our dynamic team and help us leverage data to drive business insights and innovation.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using GCP services.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Implement data integration solutions to ingest, process, and store large volumes of data from various sources.
• Optimize and troubleshoot data workflows to ensure high performance and reliability.
• Develop and maintain data models, schemas, and documentation.
• Ensure data quality, integrity, and security across all data pipelines.
• Monitor and manage cloud resources to ensure cost-effective and efficient data processing.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Strong proficiency in Python for data processing and automation.
• Expertise in designing and implementing ETL processes.
• Familiarity with SQL and database management systems.
• Knowledge of data warehousing concepts and best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with data visualization tools (e.g., Looker, Tableau).
• Understanding of machine learning and data science concepts.