Senior Big Data @ Devire

• 5-10 years of experience in IT.
• Solid understanding of data engineering principles and Big Data processing.
• Hands-on experience with Scala and Apache Spark.
• Experience with software development.
• Familiarity with CI/CD pipelines, code quality monitoring, and cloud environments (preferably Azure). 
• Knowledge of Airflow and/or Python will be considered an advantage.
• Strong focus on service quality and software craftsmanship principles.
• Team-oriented, curious, and pragmatic mindset.
• Nice to have - Java.

Devire IT Outsourcing is a form of collaboration dedicated to IT professionals, based on the principles of self-employment – ​​B2B – and implementing projects for leading clients pursuing innovative and cutting-edge projects.

For our Client in the banking industry, we’re looking for an experienced Senior Big Data Developer to join the team in Warsaw. 

Location: Warsaw, hybrid (3 days in the office per week)

Salary: 140-180 PLN net+VAT/h

Language: communication in English daily 

• Salary based on B2B contract (via Devire).
• Benefits package (medical healthcare, sports membership, etc.).
• Possibility to cooperate with an international company with a stable market position.
• Long-term cooperation.
• An active role in an international structure and the opportunity for growth.

,[Design and implement technical solutions and backend architectures for a data platform., Develop, test, and maintain data feeds and large-scale processing pipelines using modern Big Data technologies., Build and optimize datasets and datamarts to support data analysis and reporting needs., Ensure scalability, stability, and performance of backend systems in production., Contribute to continuous improvement initiatives and participate in CI/CD process enhancements., Monitor and maintain code quality, ensuring compliance with development best practices., Participate in incident management, troubleshooting, and root cause analysis., Collaborate closely with feature teams across backend and interface layers] Requirements: Data engineering, Scala, Spark, CD pipelines, Cloud, Azure, Airflow, Python, Java

Kategorie

data