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Company: Axiom Software Solutions Limited
Job Location: Warsaw, Masovian Voivodeship, Poland
Job Type: CONTRACT - (HYBRID)
Date Posted: April 04, 2025
External
Apply NowAs a Backend Spark developer, your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
We need somebody like you to help us in different fronts:
· You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
· You will use Scrum methodology, and be part of a high performance team
· You will document your solutions in the Group Santander tools: JIRA, Confluence, ALM…
· You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
WHAT WE ARE LOOKING FOR
Required qualifications
· At least 2 years of experience working with Spark and Scala.
· Knowledge of good practices in writing code: clean code, software design patterns, functional style of writing code, TDD.
· At least 2 years of experience working with Spark with Scala, software design patterns, and TDD.
· Experience in working with big data – Spark, Hadoop, Hive. Knowledge of Azure Databricks is considered as a plus.
· Agile approach for software development
· Experience and expertise across data integration and data management with high data volumes.
· Experiencie working in agile continuous integration/DevOps paradigm and tool set (Git, GitHub, Jenkins, Sonar, Nexus, Jira)
· Experience with different database structures, including (Postgres, SQL, Hive)
· English (at least B2+)
Preferred qualifications
- CI/CD: Jenkins, GitHub Actions
- Orchestration: Control-M, Airflow
- Scripting: Bash, Python
- Software development life cycle (HP ALM,..)
- Basics of cybersecurity & Quality (Sonar, Fortify…)
- Basics of Cloud computing (Docker, Kubernetes, OS3, Azure, AWS)
Hard work beats talent when talent doesn’t work hard.