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Talan

Big Data Developer

Talan

Mid-Level Big Data Developer at Talan developing and optimizing data processing solutions in a collaborative environment. Engaging in technology-driven projects across the organization.

Posted 7/11/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining ETL processes and data pipelines, with strong proficiency in SQL and Apache Spark. Capable of optimizing data performance and collaborating effectively within cross-functional teams while adhering to Agile and DevOps practices.

Highest-signal resume keywords
ETL DevelopmentApache SparkSQL ProficiencyData Pipeline OptimizationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL ProcessesData TransformationApache SparkSQLScalaPythonJavaData Quality AssuranceData AnalysisBig Data Solutions
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunication
Tools & Technologies
Azure DatabricksAmazon EMRClouderaApache HiveQlik SenseGitGitHubSonarQubeNexus
Industry Keywords
Big DataData EngineeringDevOpsCI/CDAgile

Tech Stack

Tools & technologies
ApacheAzureETLJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain ETL and data transformation processes.
  • Build, optimize, and support Spark-based data pipelines.
  • Develop scalable data processing solutions in a Big Data environment.
  • Integrate data from multiple sources while ensuring data quality and consistency.
  • Analyze, troubleshoot, and resolve data-related issues.
  • Optimize data performance and processing efficiency.
  • Collaborate with cross-functional teams to gather and refine business requirements.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.
  • Follow DevOps and CI/CD best practices throughout the development lifecycle.

Requirements

What you’ll need
  • 3+ years of experience in software development and data engineering.
  • Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL, or equivalent).
  • Hands-on experience with Apache Spark and at least one of the following programming languages: Scala, Python, Java.
  • Experience working with Spark-based platforms such as Azure Databricks, Amazon EMR, Cloudera, Apache Hive or similar Big Data environments.
  • Experience with Qlik Sense reporting and dashboard development.
  • Familiarity with Agile methodologies and DevOps practices.
  • Experience with version control and CI/CD tools such as Git, GitHub, SonarQube, Nexus.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively within a multidisciplinary team.
  • Ability to understand, analyze, and improve business and technical requirements.
  • English level B2+ or above.

Benefits

Comp & perks
  • Permanent, full-time contract with career development opportunities.
  • Chance to work in a challenging, multicultural environment with international projects.
  • Exposure to large-scale financial IT systems and cross-country operations.
  • Training opportunities to develop new skills in finance, technology, and data management.