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Job Description
Hybrid work mode in Madrid. This service could imply a willingness to travel occasionally within Italy.
The main responsibilities are:
Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service.
Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations.
Set up CI/CD pipelines to automate deployments, unit testing and development management.
Write and conduct unit and validation tests to ensure accuracy and integrity of code developed.
Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly).
Writing technical documentation (specifications, operational documents) to ensure knowledge capitalization.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Foster a culture of continuous learning and improvement within the team.
Qualifications
Good knowledge of:
Spark on Scala
HDFS and structured databases (SQL)
S3 storage/COS and parquet (and ORC) format
Strong knowledge of SQL and NoSQL databases
Hadoop
Full understanding of:
Shell script
Software Development Lifecycle (SDLC) awareness
Agile principles and ceremonies
Design effective prompts to leverage Gen AI tools across IT domains (e.g., development, testing, data generation, documentation) during the development stage.
Some knowledge of:
Dremio as tool to virtualize data
Optionally/ as a plus:
Elasticsearch and Kibana
HVault
Additional Information
BUSINESS AND TRANSVERSAL SKILLS
Knowledge of banking industry and processes
Problem-Solving and Decision-Making person
Business / IT relationship (including IT OPS)
Ability to understand, explain and support change
Ability to Deliver / Results driven
Ability to collaborate / Teamwork with data squads and business teams
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