Mid-Level Big Data Developer

Talan Group; Buenos Aires; Presencial; ARS 89.322.000 - 133.982.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Multicultural team

International projects

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Big Data

SQL

Apache Spark

Scala

Python

Java

Agile DevOps

Git & GitHub

Herramientas

Git

GitHub

Sonar

Nexus

Descripción del empleo

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 ideal 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, Continuous Integration, and DevOps environments.
• Familiarity with tools such as Git, GitHub, Sonar, and Nexus.
• Strong analytical and problem-solving skills.
• Ability to understand and analyze requirements and collaborate effectively with team members.
• Strong teamwork and communication skills.
• English level: B2+ or higher.

Additional Information

What do we offer you?

• Possibility to be part of a multicultural team and work on international projects.

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree‑Law 6/2019).

Company Description

Company Description

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand a turnover of €850M, we are committed to delivering impactful, future‑ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowermentto deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenuethis year.

Our Core Areas of Expertise

• Data & Technologies:We design and implement large-scale, end‑to‑end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
• Cloud & Application Services:We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
• Management & Innovation Consulting:We lead business and digital transformation initiativesthrough project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.