Data Engineer - ODS

Santander Bank, N. A.
Municipality of Madrid, Spain
2 days ago

Role details

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

Job location

Municipality of Madrid, Spain

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apache HTTP Server
JIRA
Cloud Computing
Information Systems
Continuous Integration
Data Integration
Data Warehousing
Database Storage Structures
Software Design Patterns
DevOps
Amazon DynamoDB
Elasticsearch
Identity and Access Management
PostgreSQL
MySQL
Cisco Nexus Switches
NoSQL
Redis
Scala
SONAR (Symantec)
SQL Databases
Test Driven Development
Spark
Electronic Medical Records
GIT
Cloudformation
Information Technology
Apache Flink
Spark Streaming
Data Management
Splunk
Jenkins

Requirements

  • 3+ years of experience working with Scala, Spark, software design patterns, and TDD.
  • Experience with different database structures, including SQL (Postgres, MySQL), and NOSQL (DynamoDB, DocumentDB, Redis, Elasticsearch).
  • Experience and expertise across data integration and data management with high data volumes.
  • Experience with Cloud ecosystems is a must, would be a great plus if it's with AWS ecosystem (EMR, EC2, IAM, GLUE, ATHENA, S3, CloudFormation, LakeFormation, Redshift, DynamoDB, RDS, ECS & ECR).
  • Experience working in agile continuous integration/DevOps paradigm and tool set (Git, Jenkins, Sonar, Nexus, Jira, and Splunk).
  • Bachelor's Degree in Computer Science, Information Systems, Mathematics, or other STEM, and related fields, or equivalent work experience.
  • Professional working proficiency in English.

Nice to have

  • Experience with data warehousing, apache iceberg, and visualisation tools.
  • Experience with NRT applications: Apache Flink, spark streaming.

Benefits & conditions

Working in start-up mode with the support of the Santander Group.

  • Competitive remuneration and attractive benefits package.

  • Possibility of growth within the company and the Group.

  • Collaborating on international projects in different countries.

  • Excellent work environment, social clubs and frequent events.

Would you like to grow with us? Join our team!

ODS is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.

We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Bank, S.A./ Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.

About the company

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates. Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we're committed to being the best Digital Bank with Branches in the industry. Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers! Join us to tackle exciting tech challenges in an agile environment, benefiting from learning, growth, and local and international career opportunities in a modern, diverse setting. Mission and responsibilities: The main tasks of this position will be the following: * Design and implement production big data environments using modern technologies. * Build, validate, and optimize large-scale, big data solutions in heterogeneous data environments. * Develop and manage ETLs in batch (Spark and Scala), and streaming (Apache Flink).

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