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Mid Data Analyst Python, AWS (100% remoto desde España)

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UST

19d ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    IT & Cybersecurity
  • Madrid
    Remote

AI generated summary

  • You need 2-4 years of experience in ETL with Spark and Python, AWS (S3, RDS, EMR), strong SQL skills, CI/CD familiarity, real-time data processing, AWS certification, and B2/C1 English.
  • You will design, build, and maintain ETL pipelines using Apache Spark, ensuring data quality, performance, and seamless integration with AWS infrastructure, while documenting processes.

Requirements

  • Aportar entre 2 y 4 años de experiencia demostrable:
  • Experiencia en el desarrollo de pipelines ETL con Apache, Spark y Python.
  • Conocimiento práctico de servicio AWS como S3, RDS (PostgreSQL) e IAM, AWS Glue, Amazon EMR y Lambda.
  • Sólidas habilidades en SQL.
  • Familiaridad con sistemas de control de versiones y flujos de CI/CD.
  • Experiencia con procesamiento de datos en tiempo real.
  • Certificación AWS realización con datos o arquitecturas cloud.
  • Conocimiento de conceptos de inversiones y modelos de datos de banca privada.
  • Buen nivel de inglés: B2/C1

Responsibilities

  • Diseñar, construir y mantener pipelines ETL utilizando Apache Spark, siguiendo las directrices y estándares establecidos por el Data Engineering Lead.
  • Realizar transformaciones complejas, cálculos avanzados y joins en grandes volúmenes de datos en un entorno cloud, garantizando la escalabilidad, seguridad y rendimiento del sistema.
  • Asegurar la calidad y consistencia de los datos procesados mediante pruebas automatizadas y validaciones.
  • Documentar procesos ETL y mantener actualizada la arquitectura bajo la supervisión y guía del Lead.
  • Coordinarse con el Cloud Engineer para garantizar la integración fluida de los pipelines con la infraestructura AWS.
  • Documentar los procesos ETL según los estándares definidos por el EQ.

FAQs

Do we support remote work?

Yes, this position is 100% remote from any province in Spain.

What is the required experience for this position?

We are looking for a Mid Data Analyst with 2 to 4 years of demonstrable experience.

What technical skills are required for this role?

Required skills include experience in developing ETL pipelines using Apache Spark and Python, practical knowledge of AWS services such as S3, RDS, AWS Glue, Amazon EMR, and Lambda, as well as solid SQL skills.

Is there a preference for any additional skills or knowledge?

Yes, desirable skills include experience with real-time data processing, AWS certifications related to data or cloud architectures, and knowledge of investment concepts and data models in private banking.

What language proficiency is expected?

A good level of English (B2/C1) is expected for this position.

How many vacation days are offered?

The position offers 23 working days of vacation, along with holidays on December 24 and December 31.

Are there any benefits provided?

Yes, the position includes numerous social benefits such as medical insurance, telework assistance, life insurance, and accident insurance, among others.

Is there flexibility in salary payment?

Yes, there is an option to receive your salary in either 12 or 14 payments.

Are there opportunities for professional development?

Yes, we provide access to various training platforms for professional growth.

Does UST promote equal opportunity in hiring?

Yes, UST is committed to equal opportunity and does not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality.

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Mission & Purpose

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 26,000 employees in 25 countries, UST builds for boundless impact—touching billions of lives in the process.