
Mid-Backend Developer - Big Data ( Hybrid from Warsaw)
Virtusa · Warsaw, Masovian Voivodeship, Polska · Hybrid
Strong hiring record · median 14 days open
All reasons
In its favour
- Still listed on the employer's own board
This role focuses on building scalable, efficient, and robust solutions for global regulatory reporting, contributing to risk reduction and operational excellence across the Group.
This job is Hybrid - 1 - 2 days in the office (Warsaw) every week
As a Backend Developer, you will
- Design and implement scalable, high-performance reporting solutions.
- Build Spark-based applications (Scala preferred).
- Develop and maintain end-to-end ETL/ELT pipelines, including data transfer, validation, and business logic.
- Collaborate closely with Product Owners, Architects, Analysts, and cross-functional teams across geographies.
- Work in an Agile/Scrum environment with a strong focus on continuous delivery and quick feedback loops.
- Contribute to CI/CD pipelines and ensure high-quality delivery through unit testing, automation, and peer reviews.
- Document solutions in standard tools (JIRA, Confluence, ALM).
- Integrate data from multiple sources, supporting a microservices-based architecture.
Requirements
- Bachelor’s degree in Computer Science or related field.
- 3+ years of experience in software/data engineering, preferably in financial services.
- Hands-on experience with Apache Spark (Scala).
- Strong background in ETL/ELT pipeline development.
- Knowledge of integration solutions (APIs, microservices).
- Familiarity with Big Data technologies and SQL databases.
- Experience with CI/CD tools (Git, GitHub, Jenkins).
- Professional English (B2+).
Preferred Qualifications
- Experience with Python, Bash scripting, or Airflow/Control-M.
- Familiarity with Cloud platforms (Azure, AWS, Databricks, S3, Kubernetes, Docker, EMR).
- Understanding basics of cybersecurity/quality assurance (Sonar).
- Knowledge of software development lifecycle tools (HP ALM).
- Strong analytical and problem-solving skills.
Skills
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