Backend Developer - Big Data @ ITMAGINATION

ITMAGINATION

Warszawa, mazowieckie
Stała
Pełny etat

9 godzin temu

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.

ITMAGINATION helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.We are looking for experienced team players to fill the Backend Developer - Big Data position and participate in our up-and-coming project for our client from the banking industry. ,[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: Apache Spark, BigData, Data engineering, Python, Bash script, Control-M, Databricks, Kubernetes, Docker Additionally: Sport subscription, Private healthcare.

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