RH: Raul García

Position: GCP Data Engineer

Location: Aguascalientes, Mexico

Industry - Sector: MALS

What you’ll do?

• Build, maintain, and optimize end-to-end ETL pipelines using Google Cloud Dataflow, Apache Beam, Cloud Composer, and Cloud Functions.
• Automate data ingestion, transformation, and integration processes from multiple sources (structured and unstructured data) into cloud-based data platforms.
• Design and implement scalable cloud-based data architectures using services like Google BigQuery, Google Cloud Storage (GCS), Cloud Pub/Sub, and Cloud Dataproc.
• Architect data solutions that are reliable, performant, and cost-effective for large-scale data processing and storage needs.
• Build and manage data lakes using Google Cloud Storage and ensure data is properly ingested, stored, and processed in an organized and secure manner.
• Implement Google BigQuery data warehouses, optimize data models for performance, and ensure they are scalable to handle large datasets.
• Leverage Google Cloud Dataflow or Apache Beam to transform data into formats suitable for reporting and machine learning models.
• Integrate diverse data sources such as relational databases, NoSQL databases, APIs, and flat files into the data pipeline architecture.
• Automate the deployment of data pipelines, processes, and infrastructure using Google Cloud Deployment Manager, Terraform, or Cloud Composer.
• Design and manage CI/CD pipelines for efficient deployment of data engineering solutions.
• Implement best practices for data governance, ensuring data privacy and compliance with security standards (e.g., encryption, data masking, and access control).
• Manage permissions and security with Google IAM, and ensure that sensitive data is securely handled and stored.
• Continuously monitor the performance of data pipelines and storage solutions, identifying opportunities for optimization and cost reduction.
• Troubleshoot and resolve data integration and pipeline issues to ensure smooth and efficient data processing.
• Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to understand data requirements and deliver high-quality data solutions.
• Provide support for data-related questions, troubleshooting, and assist with data visualization and reporting tasks.
• Document data engineering processes, including pipeline architectures, configurations, and best practices.
• Prepare and deliver regular updates on data engineering projects and their progress.

What you’ll bring:

• Expertise in Google Cloud BigQuery, Google Cloud Storage (GCS), Cloud Dataflow, Cloud Pub/Sub, Google Cloud Dataproc, Cloud Composer, Cloud Functions, and Cloud Bigtable.
• Experience in building ETL pipelines using Cloud Dataflow, Apache Beam, Google Cloud
• Ability to integrate structured and unstructured data sources into cloud-based systems.
• Strong experience working with Google BigQuery for building and managing data warehouses and running optimized analytical queries.
• Expertise in data ingestion, transformation, and integration using GCP tools, including Google Cloud Pub/Sub, Cloud Dataflow, and BigQuery.
• Proficiency in Python, SQL, and JavaScript for data engineering tasks, scripting, and automation.
• Experience with Apache Spark and PySpark is a plus for handling large-scale data processing.
• Experience with Google Cloud Deployment Manager, Terraform, or Cloud Composer to automate infrastructure and data pipelines.
• Strong understanding of Google IAM, data encryption, and secure data access practices.
• Proficiency in Git for version control and collaborative development.

Soft skills:

Work Underpressure, Quality at work, Results Oriented

What can YOU expect in a career with Capgemini?

• Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients.
• You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools.
• You will contribute to client satisfaction by providing timely and responsive value-added services and work products.
• Capgemini offers a competitive compensation and benefits package.
• Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization.
• Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model.

You will love this job because

• Capgemini focuses on giving each new hire a YOU-nique experience through our recruitment process and on-boarding program, as well as by helping you to build your own career and professional skills foundation.
• Capgemini provides a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun.
• Capgemini cultivates an atmosphere for development that enables YOU to be hands-on, planning for your growth, both horizontally and vertically.

“At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position”