Data Engineer, 750000 Peso mexicano (Globalmente remoto) [Big data, Google Cloud Platform (GCP)]

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Written by AI from the job title and company, not by Listopro, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Engineer at Listopro will play a pivotal role in developing and maintaining our data infrastructure, focusing on big data solutions and utilizing the Google Cloud Platform (GCP). The successful candidate will collaborate closely with data analysts and data scientists to optimize data pipelines, ensure data integrity, and enhance the overall data accessibility across the organization. This position is global and remote, offering a flexible work environment while driving significant contributions to our data-driven initiatives.

Job Responsibilities

• Design, construct, install, and maintain scalable data processing systems while ensuring their reliability and efficiency.
• Develop and implement data pipelines to manage and analyze large datasets within the Google Cloud Platform.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Monitor and optimize data storage and retrieval processes to ensure maximum performance and reliability.
• Prepare and maintain documentation regarding data management processes and workflows.
• Troubleshoot data-related issues and provide solutions to enhance data quality and accessibility.
• Continuously research and implement new technologies and processes that improve data management practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role, with a minimum of 3 years of experience in big data technologies.
• Strong proficiency in Google Cloud Platform, particularly with tools like BigQuery, Dataflow, and GCS.
• Familiarity with programming languages such as Python, Java, or SQL.
• Experience with data modeling, ETL processes, and database management systems.
• Strong analytical skills and the ability to work with complex datasets.
• Excellent communication skills, both verbal and written.

Technologies & Tools

The Data Engineer will primarily work with Google Cloud Platform (GCP) technologies such as BigQuery, Dataflow, and Google Cloud Storage. Additional tools may include Apache Kafka for data streaming, Apache Airflow for workflow management, and various data analysis libraries such as Pandas and NumPy. Familiarity with machine learning frameworks may also be beneficial.

Ideal Candidates

Ideal candidates for the Data Engineer position will possess a strong technical foundation complemented by creativity and problem-solving skills. They should be proactive in adopting new technologies and methodologies, eager to develop their capabilities further. Candidates should also demonstrate strong collaboration abilities and a desire to work in a fast-paced, dynamic environment. A passion for data and an analytical mindset will be key traits that contribute to their success in this role.