Big Data Engineer @ ITDS

21 hours ago

Kraków, Czech Republic ITDS Full time

You're ideal for this role if you have: A degree in Computer Science, IT, or a related discipline  Proven experience in designing and developing big data systems  Hands-on experience with Spark and distributed computing  Solid Java, Python, and Groovy development skills  Strong knowledge of the Spring ecosystem (Boot, Batch, Cloud)  Familiarity with REST APIs, Web Services, and API Gateway technologies  Practical experience in DevOps tooling like Jenkins and Ansible  Proficiency in using RDBMS, especially PostgreSQL  Hands-on experience with public cloud platforms, particularly GCP  Excellent communication in English  It is a strong plus if you have: Experience with streaming technologies like Apache Beam or Flink  Knowledge of OLAP solutions and data modeling  Background in financial risk management or the banking industry  Exposure to container technologies such as Docker and Kubernetes  Familiarity with Traded Risk domain concepts  Experience with RPC frameworks like gRPC  Knowledge of data lakehouse tools like Dremio or Trino  Hands-on experience with BI or UI development  Scrum Master or PMP certification  Big Data Engineer  Join us, and build data solutions that drive global innovation Kraków - based opportunity with hybrid work model (3 days/month in the office). As a Big Data Developer, you will be working for our client, a leading global financial institution, contributing to the design and development of cutting-edge data solutions for risk management and analytics. The client is undergoing a strategic digital transformation, focusing on scalable, cloud-based big data platforms that support advanced analytics and regulatory compliance. You will be part of a high-performing Agile team, collaborating closely with business stakeholders and technical teams to build and maintain robust distributed systems that process large volumes of data efficiently. ,[Designing and developing distributed big data solutions using Spark , Implementing microservices and APIs for data ingestion and analytics , Managing cloud-native deployments primarily on GCP , Writing and maintaining test automation frameworks using tools like JUnit, Cucumber, or Karate , Collaborating with cross-functional teams to translate business requirements into technical specifications , Developing and scheduling data workflows using Apache Airflow , Maintaining and optimizing existing big data pipelines , Utilizing DevOps tools such as Jenkins and Ansible for CI/CD automation , Participating in Agile ceremonies and contributing to sprint planning and retrospectives , Monitoring, troubleshooting, and improving data systems and services ] Requirements: Big data, risk management, Spark, Microservices, GCP, Test automation, JUnit, Cucumber, Data pipelines, DevOps, Jenkins, Ansible, Degree, Distributed computing, Java, Python, Groovy, Spring, Boot, Cloud, REST API, Web services, API Gateway, RDBMS, PostgreSQL, Cloud platform, Apache Beam, Flink, OLAP, Docker, Kubernetes, gRPC, BI, UI, PMP Additionally: Sport subscription, Private healthcare.

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