This is a fully remote position, open to applicants in Mexico.

• Design, develop, and maintain ETL processes and data transformation.

• Implement and support data pipelines based on Spark.

• Contribute to data integration initiatives across the platform.

• Analyze and troubleshoot data-related issues.

• Ensure data quality, reliability, and performance across all systems.

• Collaborate closely with functional and technical stakeholders to gather and analyze requirements.

• Work within agile teams and contribute to the continuous improvement of data solutions.

• Engage in DevOps practices and CI/CD processes.

• Over 3 years of experience in data engineering or software development.

• Strong knowledge of SQL (ANSI SQL, Hive SQL, Spark SQL).

• Hands-on experience with Spark.

• Proficiency in at least one of the following: Scala, Python, or Java.

• Experience with Big Data environments such as Azure Databricks, Amazon EMR, Hive, or Cloudera.

• Familiarity with DevOps practices and CI/CD (Git, GitHub, Sonar, Nexus).

• Ability to work effectively in agile teams.

• Strong analytical skills and ability to collaborate with cross-functional teams.

• Proficiency in English at a B2 level or higher.

• Opportunities for professional development.

• Chance to work in a challenging multicultural environment.

• Exposure to large-scale IT financial systems and transnational operations.

• Training opportunities to develop new skills in finance, technology, and data management.

Big Data Developer

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