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

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Listopro is seeking a skilled Data Engineer to join our dynamic team on a global remote basis with a competitive salary of 750,000 Peso mexicano. The successful candidate will be responsible for designing, constructing, and maintaining scalable data pipelines, as well as ensuring the reliability and efficiency of our data architecture. The Data Engineer will work closely with data scientists and other stakeholders to transform raw data into meaningful insights that drive informed decision-making within the organization. This role is pivotal in leveraging Big Data technologies and the Google Cloud Platform (GCP) to support our data-driven initiatives.

Job Responsibilities

• Design, develop, and implement scalable data pipelines and data systems.
• Maintain and optimize existing data processes and architecture for efficiency.
• Collaborate with data scientists, analysts, and other team members to understand data needs and deliver effective solutions.
• Ensure data quality and integrity through robust validation processes.
• Implement security measures and best practices for data management.
• Stay current with industry trends and emerging technologies related to data engineering.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, with a focus on Big Data.
• Strong proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Dataflow, and Cloud Storage.
• Solid programming skills in languages such as Python or Java.
• Experience with ETL tools and data warehousing solutions.
• Knowledge of databases, including SQL and NoSQL databases.
• Ability to work independently and as part of a team in a remote setting.

Technologies & Tools

The Data Engineer position utilizes a range of technologies and tools to manage and process large volumes of data effectively. Key technologies include Google Cloud Platform (GCP) suite, particularly BigQuery for data analysis, Dataflow for batch and stream processing, and Cloud Storage for unstructured data. Familiarity with Apache Hadoop, Spark, and various ETL frameworks will also be valuable in this role.

Ideal Candidates

The ideal candidate for the Data Engineer position will possess strong analytical skills, with a problem-solving mindset and a keen attention to detail. They should be proactive and self-motivated, capable of thriving in a remote working environment. Excellent communication skills are essential, as the Data Engineer will collaborate across various teams to achieve common goals. A passion for data-driven solutions and a commitment to best practices in data engineering will set the successful applicant apart.