Spark-Powered Big Data Engineer

Talan Group; Buenos Aires; Hybrid; ARS 89,322,000 - 133,982,000; Full time

Benefits offered by this job

Multicultural team

International projects

Job summary

Talan Group is seeking a Big Data Developer to join a dynamic data team and contribute to data processing solutions within the Client Contribution platform. The role focuses on building, maintaining, and optimizing ETL processes and Spark-based pipelines.

You will collaborate with technical and functional stakeholders in an Agile environment, ensure data quality and performance, and support reporting with Qlik Sense. English communication is essential.

Qualifications

• 3+ years of professional data development experience.
• Strong SQL knowledge: ANSI SQL, Hive SQL, Spark SQL.
• Hands-on Spark and at least one language: Scala, Python, or Java.
• Experience with a Big Data environment: Azure Databricks, EMR, Hive, or Cloudera.
• Experience with Qlik Sense and BI/reporting.
• Experience in Agile, CI, and DevOps environments.
• Familiarity with Git, GitHub, Sonar, Nexus.
• English level: B2+ or higher.

Responsibilities

• Design, develop, maintain, and optimize ETL and data transformation processes.
• Develop and maintain Apache Spark-based data pipelines.
• Contribute to data integration initiatives across the platform.
• Analyze, troubleshoot, and resolve data-related issues.
• Ensure data quality, reliability, and performance across data processing solutions.
• Develop and optimize SQL queries for data extraction, transformation, and analysis.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Participate in Agile ceremonies and CI/CD improvements.
• Follow DevOps practices throughout the development lifecycle.
• Contribute to reporting via Qlik Sense.

Skills

Big Data

SQL

Apache Spark

Scala

Python

Java

Agile DevOps

Git & GitHub

Tools

Git

GitHub

Sonar

Nexus

Job description

Talan Group is seeking a Big Data Developer to join a dynamic data team and contribute to data processing solutions within the Client Contribution platform. The role focuses on building, maintaining, and optimizing ETL processes and Spark-based pipelines.

You will collaborate with technical and functional stakeholders in an Agile environment, ensure data quality and performance, and support reporting with Qlik Sense. English communication is essential.