Spark Data Engineer – ETL, Data Quality & AI Tools

Talan Group; Buenos Aires; Presencial; ARS 89.314.954 - 119.086.605; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career development opportunities

Training in finance, technology, and data management

Descripción de la vacante

Talan Group is seeking a Big Data Developer based in Buenos Aires, Argentina, to design and maintain data processing solutions for the Client Contribution platform. The role emphasizes building robust data pipelines, ensuring data quality, and collaborating in an Agile environment.

Ideal candidates will have 3+ years of experience with strong SQL skills, hands-on experience with Spark, and proficiency in Scala, Python, or Java. The company offers a permanent, full-time contract in an international and multicultural setting with opportunities for career development.

Formación

• 3+ years of experience in data engineering or software development.
• Strong SQL knowledge in ANSI SQL, Hive SQL, and Spark SQL.
• Hands-on experience with Spark.

Responsabilidades

• Design, develop, and maintain ETL and data transformation processes.
• Implement and support Spark-based data pipelines.
• Analyze and troubleshoot data-related issues.

Conocimientos

Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL)

Hands-on experience with Spark

Programming experience in Scala, Python, or Java

Ability to work effectively in Agile teams

Strong analytical skills

Educación

3+ years of experience in data engineering or software development

English proficiency level: B2 or higher

Herramientas

Azure Databricks

Amazon EMR

Hive

Cloudera

Git

GitHub

Sonar

Nexus

Descripción del empleo

Talan Group is seeking a Big Data Developer based in Buenos Aires, Argentina, to design and maintain data processing solutions for the Client Contribution platform. The role emphasizes building robust data pipelines, ensuring data quality, and collaborating in an Agile environment.

Ideal candidates will have 3+ years of experience with strong SQL skills, hands-on experience with Spark, and proficiency in Scala, Python, or Java. The company offers a permanent, full-time contract in an international and multicultural setting with opportunities for career development.