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Elasticsearch Engineer
Hybrid work model – 2 days per week from the office in Kraków
We are looking for an experienced Elasticsearch Engineer to join an international technology team working on a large-scale platform focused on advanced analytics, Big Data, and cloud-native solutions within the financial services domain.
The role is part of a globally distributed setup with teams located across Europe and Asia, operating in an Agile environment with regular releases and strong engineering standards.
Project Overview
The project focuses on building and maintaining a Big Data and analytics platform that leverages Elasticsearch, AI technologies, and Google Cloud Platform (GCP) to support intelligence-driven analysis and investigation processes. The platform is used by analysts, investigators, and data specialists operating at global scale.
The technology stack includes Elasticsearch, Scala, Spark, Hadoop, with an ongoing transition towards cloud-native solutions on GCP, including Kubernetes, Terraform, Ansible, and CI/CD pipelines.
What We Offer
Work on a business-critical, large-scale analytics platform
Collaboration with experienced, international engineering teams
Exposure to modern cloud and Big Data technologies
Stable, long-term project with clear engineering standards and processes
Required Skills & Experience
Strong hands-on experience with Elasticsearch (acting as an SME)
Good knowledge of Google Cloud Platform (GCP)
Experience with the Hadoop ecosystem
Familiarity with Agile and DevOps practices (Scrum / Kanban)
Experience using Jira and Confluence
Very good communication skills in English (discussion, collaboration, presentations)
Nice to Have
Experience with Scala and Apache Spark
Knowledge of JUnit, TDD, BDD
Experience with RHEL / shell scripting / regex
Understanding of Clean Code principles, SOLID, KISS, DRY, and design patterns
Elasticsearch Engineer
Hybrid work model – 2 days per week from the office in Kraków
We are looking for an experienced Elasticsearch Engineer to join an international technology team working on a large-scale platform focused on advanced analytics, Big Data, and cloud-native solutions within the financial services domain.
The role is part of a globally distributed setup with teams located across Europe and Asia, operating in an Agile environment with regular releases and strong engineering standards.
Project Overview
The project focuses on building and maintaining a Big Data and analytics platform that leverages Elasticsearch, AI technologies, and Google Cloud Platform (GCP) to support intelligence-driven analysis and investigation processes. The platform is used by analysts, investigators, and data specialists operating at global scale.
The technology stack includes Elasticsearch, Scala, Spark, Hadoop, with an ongoing transition towards cloud-native solutions on GCP, including Kubernetes, Terraform, Ansible, and CI/CD pipelines.
What We Offer
Work on a business-critical, large-scale analytics platform
Collaboration with experienced, international engineering teams
Exposure to modern cloud and Big Data technologies
Stable, long-term project with clear engineering standards and processes
,(Implement, configure, and upgrade Elasticsearch clusters, Provide L2/L3 production support for business users and development teams, Support development pods with troubleshooting, performance tuning, and operational issues, Assist in the migration of Elasticsearch from on-premises environments to the cloud, Collaborate closely with engineers, DevOps, and platform teams in an Agile setup) Requirements: Elasticsearch, Google cloud platform, Hadoop, DevOps, Kanban, Jira, Confluence, Scala, Apache Spark, JUnit, TDD, BDD, RHEL, Shell, Clean Code, DRY, Design Patterns
Szczegóły oferty:
Firma: Antal
Stanowisko: Elasticsearch Engineer @ Antal
Miejsce pracy: Małopolskie
Kraj: PL
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