Spark, Scala, SQL Developer

Design, develop and maintain datalake pipelines using Spark, Scala and SQL.

Orchestrate batch workflows and dependencies with Control-M and Airflow.

Implement data ingestion, transformation, validation and publication processes for Market Risk use cases.

Optimize performance, reliability and scalability of Spark-based workloads.

Analyze technical and functional gaps, propose solutions and support delivery planning.

Support production incidents, root-cause analysis and continuous improvement of operational processes.

Collaborate with agile squads, functional teams and production support teams to deliver business value.

We are looking for Apache Spark (Backend Developer Analyst) with at least 2 years of experience in backend application development, particularly within Big Data environments using Apache Spark.

The ideal candidate is passionate about technology, follows Agile development methodologies, and has experience working in collaborative, continuously improving software teams. Strong knowledge of SQL, Continuous Integration practices (Git, GitHub, Jenkins), and excellent communication skills in English C1 level are essential., Minimum 2+ years of experience in big data, datalake or cloud-based data platforms.

Strong hands-on experience with Spark, Scala and SQL for large-scale data processing.

Knowledge of datalake architecture, data quality controls, lineage and production-grade data pipelines.

Excellent communication, teamwork, adaptability, productivity.

Experience with workflow orchestration and scheduling tools, especially Control-M and Airflow.

Databricks, Azure, YARN, AWS compute.

Experience with CI/CD and software engineering practices, including GitHub, Jenkins and Sonar.

Understanding of banking production processes, operational monitoring and incident management tools such as ServiceNow.

Basic knowledge of Market Risk processes, including P&L, valuations, metrics and regulatory reporting data flows., AWS, Agile, Apache Airflow, Apache Spark, CI/CD, Control-M, Data Governance, Incident Management, Jenkins, GitHub, ETL

Work Location 100% remote (Spain)

Work Schedule Business hours.

What can we offer? 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).

`Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)

Free access to several training platforms

Professional stability and career plans

UST also, compensates referrals from which you could benefit when you refer professionals.

The option to pick between 12 or 14 payments along the year.

Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)

UST Club Platform discounts and gym Access discounts

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web.

• 100% En remoto Ubicación

• España Imprescindible Residir

• Big Data Funciones

• Jornada completa Jornada

• 2 años Experiencia

• Indefinido