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

• Accountable for the creation, upkeep, and enhancement of data processing solutions within the Client Contribution platform.

• Design, develop, and sustain ETL and data transformation workflows.

• Implement and assist Spark-based data pipelines.

• Contribute to data integration efforts throughout the platform.

• Analyze and resolve data-related challenges.

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

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

• Work within Agile teams and contribute to the ongoing improvement of data solutions.

• Engage in DevOps practices and CI/CD processes.

• Investigate and utilize AI-assisted tools to enhance data engineering and automation processes (desirable).

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

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

• Practical experience with Spark.

• Programming skills in at least one of the following languages: Scala, Python, or Java.

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

• Understanding of DevOps and CI/CD practices (Git, GitHub, Sonar, Nexus).

• Ability to collaborate effectively in Agile teams.

• Strong analytical abilities and capacity to work with cross-functional teams.

• Proficiency in English at a B2 level or higher.

• Permanent, full-time employment with opportunities for career development.

• Opportunity to work in a stimulating, multicultural environment on international projects.

• Exposure to large-scale financial IT systems and operations across different countries.

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

Big Data Developer

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