Data Engineer - Remote, Latin America

Bluelight; Nezahualcóyotl; A distancia; MXN 1.103.752 - 1.471.670; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and bonuses

Generous paid time off policy

Technology/Office stipend

Health coverage

Flexible working hours

Continuing education and training

Descripción de la vacante

A leading software consultancy is seeking a Data Engineer to join their remote team in Latin America. The ideal candidate will have extensive experience with AWS services and data pipeline development. Responsibilities include collaborating with teams to enhance data models and ensuring data quality. The position offers competitive salary, flexible working hours, and opportunities for continuing education and certifications.

Formación

• 3+ years of data pipeline development experience with tools like SnapLogic or Informatica.
• 3+ years of SQL experience; No-SQL experience is a plus.
• Experience designing, building, and maintaining data pipelines.

Responsabilidades

• Develop and maintain data models for core applications.
• Monitor execution and performance of daily data pipelines.
• Collaborate with analytics and business teams to improve data accessibility.

Conocimientos

AWS services (S3, Athena, EC2, EMR, Glue)

Data integration skills

SQL Server and Postgres

Agile methodology

Data analysis

Excellent communication skills

Educación

BS or MS degree in Computer Science or related field

Herramientas

SnapLogic

Git

Tableau

Descripción del empleo

Overview

Data Engineer - Remote, Latin America at Bluelight Consulting. Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users\' lives. We are expanding across the United States and Central/South America and seek exceptional talent to join our dynamic and diverse team.

We are looking for a skilled individual to join our rapidly growing team. This position is ideal for someone who thrives in a fast-paced, dynamic environment where opinions and efforts are valued. You will contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and collaboration.

Location: Remote, Latin America

We invite you to apply and be part of this exciting journey.

What You\'ll Be Doing

• Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration.
• Monitor execution and performance of daily pipelines, triage and escalate issues as needed.
• Collaborate with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and enabling data-driven decision-making.
• Implement processes and systems to monitor data quality, ensuring production data is accurate and available for stakeholders and processes.
• Write unit/integration tests, contribute to engineering wiki, and document work.
• Perform data analysis to troubleshoot data-related issues and assist in resolution.
• Work within AWS/Linux cloud environments in support of data integration solutions.
• Work closely with frontend and backend engineers, product managers, and analysts.
• Collaborate with team members, share knowledge, and follow directions as needed.

Qualifications

• Experience with AWS services including S3, Athena, EC2, EMR, and Glue.
• Ability to solve ongoing issues with operating the cluster.
• Experience with integration of data from multiple sources.
• Experience with database technologies such as SQLServer, Redshift, Postgres, and RDS.
• Experience with data integration platforms (e.g., Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar).
• Knowledge of IT operations in an always-up, always-available service environment.
• Experience with Agile Software Development methodologies.
• Excellent problem-solving and troubleshooting skills.
• Excellent oral and written communication with strong customer service orientation.
• Experience with collecting/managing/reporting on large data stores.
• Awareness of data governance and data quality principles.
• Business analytics experience including basic metric building and troubleshooting.
• Understanding of integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.
• Familiarity with Web Services: XML, REST, SOAP.
• Experience with Git or similar version control software.
• Experience with BI tools such as GoodData (preferred), Tableau, or Power BI.
• Broad experience with multiple RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL, Redshift.
• Familiarity with SaaS/cloud data systems (e.g., Salesforce).
• Data warehouse design: star schemas, change data capture, denormalization.
• SQL/DDL queries and tuning techniques (e.g., indexing, sorting, distribution).
• BS or MS degree in Computer Science or a related technical field.
• 3+ years of data pipeline development experience with tools like SnapLogic, Datastage, Informatica, or related technologies.
• 3+ years of SQL experience (No-SQL experience is a plus).
• Experience designing, building, and maintaining data pipelines.

Benefits

• Competitive salary and bonuses, including performance-based increases.
• Generous paid time off policy.
• Technology/Office stipend.
• Health coverage.
• Flexible working hours.
• Remote work option.
• Continuing education, training, conferences.
• Company-sponsored coursework, exams, and certifications.

Being a consultant on our team is a fun, challenging, and rewarding career choice. Your contributions are valued by clients, and your work has a meaningful impact. You will have the opportunity to work on a variety of projects with modern technologies alongside professionals in the industry. If you\'re eager to be part of an exciting, rapidly growing consultancy, we encourage you to apply.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development