The Squad
BigDataEngineerwithJava
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Big Data Engineer with Java at The Squad. Skills: Java, Apache Spark, Big Data technologies, Microservices. Design microservices using Java. Develop microservices using Java”
What You'll Achieve.
Ensure high-quality delivery; Contribute to development and evolution of ingestion solutions; Power critical data flows across the bank; Serve as foundational component for analytics; Serve as foundational component for reporting; Serve as foundational component for regulatory compliance; Directly impact reliability; Directly impact performance; Directly impact adaptability
What They're Looking For.
Must Have
Java programming skills, developing microservices-based applications, Spring Boot, Apache Spark, Big Data technologies, Spark, Hive, HDFS, Kafka, NiFi, databases, Oracle/other RDBMS, Linux environments, shell scripting (Bash), monitoring and visualization tools, Kibana, DevOps mindset, CI/CD pipelines, scalable systems, reliable systems, maintainable systems, data quality, data reliability, data governance, English, structured processes, reusable processes, production-focused environment, ownership mindset, delivery mindset, customer-centric approach
Nice to Have
Azure DevOps, Kubernetes, Google Cloud Platform (GCP), Python, Scala, other JVM-based languages, observability, monitoring tools, Grafana, Prometheus, ELK stack, Agile/Scrum development environment
What You'll Do.
Design microservices using Java
Develop microservices using Java
Maintain microservices using Java
Build scalable ingestion pipelines
Support scalable ingestion pipelines
Optimize snapshot-based ingestion
Optimize metadata-driven architectures
Develop monitoring dashboards
Maintain monitoring dashboards
Automate operational tasks
Integrate with DataStage systems
Integrate with Oracle systems
Participate in code reviews
Participate in testing
Participate in CI/CD processes
Uphold software development best practices
Uphold security best practices
Uphold DevOps best practices
Uphold data engineering best practices
How You'll Work.
Team & Collaboration
Collaborate confidently with diverse stakeholders; Collaboration with ETL engineers; Work in a DevOps-oriented environment; Collaboration are key
Communication Scope
Effective communication skills in English
Full Job Description
**ING Hubs Poland is hiring!** The expected salary for this position: **13000 - 28000 PLN** _The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations._ **We are looking for you if You:** * Have strong **Java** programming skills with experience designing and **developing microservices-based** applications * Have hands-on experience with **Spring Boot, Apache Spark** * Have solid understanding of**Big Data technologies** , including **Spark, Hive, HDFS, Kafka and NiFi** * Have working knowledge of **databases** , including Oracle/other RDBMS * Feel comfortable working in **Linux environments** , with proficiency in **shell scripting (Bash)** * Have hands-on experience with**monitoring and visualization tools (e.g. Kibana)** * Have strong **DevOps mindset** , including experience with **CI/CD pipelines.** * Have strong motivation to design and build **scalable** , **reliable, and maintainable systems** * Have strong data-driven mindset with high digital fluency and a clear focus on **data quality, reliability, and governance** * Have effective **communication skills** in English and the ability to collaborate confidently with diverse stakeholders * Have proven ability to design structured, **reusable processes** and work in a disciplined, **production-focused** environment * Are **Team-oriented, proactive, and curious mindset** with a continuous focus on learning and process improvement * Have strong **ownership** and **delivery** mindset, covering the full lifecycle from development to production with a customer-centric approach **You 'll get extra points for:** * Experience working with **Azure DevOps and Kubernetes** * Experience with **Google Cloud Platform (GCP)** is a plus, enabling contribution to cloud-native and hybrid data initiatives * Experience with **Python, Scala and/or other JVM-based languages** * Familiarity with **observability** **and monitoring tools** such as Grafana,
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