Senior Backend Spark Developer

UST
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Experience level
Senior

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Airflow
Big Data
Continuous Integration
Information Engineering
Data Integration
DevOps
Github
Hadoop
Hive
Python
Cisco Nexus Switches
Standard Sql
SONAR (Symantec)
Workflow Management Systems
Data Processing
Spark
Backend
GIT
Data Management
Databricks
Control M

Job description

Lead technical decisions and contribute to architecture design

  • Develop, maintain, and optimize Big Data pipelines
  • Support data integration initiatives across different systems
  • Ensure performance, scalability, and reliability of solutions
  • Troubleshoot and resolve complex technical issues
  • Collaborate with functional and technical teams across multiple workstreams
  • Mentor and support other team members, fostering knowledge sharing

Requirements

We are looking for a Senior Backend Spark Developer responsible for the design, development, and optimization of data processing solutions within the Client Contribution platform. You will play a key role in building scalable and high-performance Big Data pipelines while collaborating across multiple teams.

High English level is required., Minimum 5 years of experience with Apache Spark (Scala or Python)

  • Strong experience with Apache Spark (must-have)
  • Proficiency in Scala or Python
  • Solid SQL knowledge and data modelling skills
  • Experience with Azure Databricks and Hive
  • Experience working in CI/CD and DevOps environments (Git, GitHub, Sonar, Nexus)
  • Agile mindset and experience working in Agile environments
  • Strong analytical skills and proactive attitude
  • English level B2+ (minimum) and Spanish (at least C1+)

Nice to have:

  • Experience with orchestration tools (Control-M, Airflow or similar)
  • Knowledge of Hadoop ecosystem
  • Interest or experience in AI technologies applied to data engineering, analytics, or automation
  • Experience with AI-assisted development tools or contributing to AI-driven data platforms

Benefits & conditions

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

  • Numerous benefits (Health Care Plan, Internet Connectivity, 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

If you would like to know more, do not hesitate to apply and we'll get in touch to fill you in details. UST is waiting for you!

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

About the company

Descripción de la oferta de empleo We are still looking for the very Top Talent…and we would be delighted if you were to join our team! 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 * Más de 5 años Experiencia * Indefinido Tipo contrato * Spark Scala Python SQL

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