We are looking for a Big Data Developer to join a dynamic data team and contribute to the development, maintenance, and optimization of data processing solutions within the Client Contribution platform .
The idóneo candidate will have solid experience in Big Data, Spark, SQL, and data transformation , combined with hands-on experience in a modern Big Data environment such as Azure Databricks, Amazon EMR, Hive, or Cloudera . You will work closely with both technical and functional stakeholders in an Agile environment, contributing to the continuous improvement of data solutions and processes.
Key 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 functional and technical stakeholders to understand and translate business requirements into effective data solutions.
- Participate in Agile ceremonies and contribute proactively to continuous improvement initiatives.
- Follow DevOps and Continuous Integration practices throughout the development lifecycle.
- Contribute to reporting and analytics solutions using Qlik Sense .

Qualifications
Mandatory Requirements
- 3+ years of professional experience in data development and programming.
- Strong knowledge of SQL , including ANSI SQL, Hive SQL, Spark SQL, or equivalent.
- Good knowledge of Apache Spark and hands‑on experience with at least one programming language:
- Scala
- Python
- Java
- Experience with at least one Big Data environment:
- Azure Databricks
- Amazon EMR
- Hive
- Cloudera
- or a similar Spark-based environment.
- Experience with Qlik Sense and reporting solutions.
- Experience working in Agile,

📌 Mid-Level Big Data Developer (Buenos Aires)
🏢 Talan Group
📍 Buenos Aires