Big Data Developer

• More than 2 years of experience in Big Data, Data Lake, or cloud data platforms.
• Solid practical experience with Apache Spark, Scala, and SQL for large-scale data processing.
• Knowledge of Data Lake architectures, production pipelines, data quality, and lineage.
• Analytical skills, results orientation, and problem-solving abilities.
• Communication, teamwork, adaptability, and autonomy skills.
• C1 level of English. Spanish will be valued.

• Experience with orchestration tools such as Control-M and Apache Airflow.
• Knowledge of Databricks, Azure, AWS Compute, and YARN.
• Experience with CI/CD practices and tools such as GitHub, Jenkins, and Sonar.
• Knowledge of monitoring, production support, and incident management with tools such as ServiceNow.
• Experience in projects within the banking sector.
• Basic knowledge of market risk: profit and loss (P&L), valuations, risk metrics, and regulatory reporting.

• Permanent contract.
• Competitive salary, in accordance with the experience and knowledge provided.
• Opportunities for professional development and continuous training.
• Participation in projects of high technological impact.
• Collaborative and innovative working environment.
• Flexible hours and working modality to be defined.

If you are a professional passionate about technology, with a solution-oriented mindset, and you are looking for an environment where you can grow and add value, we invite you to join our team at Metrica España!

Big Data Developer

We are looking for a Big Data Developer with experience in the design, development, and maintenance of data pipelines in cloud environments and Data Lake architectures. The person will join a high-impact technological project linked to the banking sector and market risk use cases.

• Design, develop, and maintain Data Lake pipelines using Apache Spark, Scala, and SQL.
• Orchestrate batch processes, dependencies, and workflows using Control-M and Apache Airflow.
• Implement data ingestion, transformation, validation, and publishing processes.
• Optimize performance, scalability, reliability, and costs of Spark workloads.
• Apply quality controls, traceability, and data lineage in production processes.
• Analyze technical and functional incidents, identify root causes, and propose improvements.
• Provide support to production processes and collaborate on continuous operational improvement.
• Participate in the planning, estimation, and delivery of developments.
• Collaborate with Agile teams, business, support, and functional areas.

Modality: 100% Remote

Experience: Minimum 2 years

SBA: 36,000€