Hybrid Java & Kubernetes DQ Tech Support Engineer

Capgemini Engineering; Opole Lubelskie; Hybrid; PLN 90,000 - 130,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Multisport card

Training tracks on NEXT platform

Job summary

Capgemini Engineering seeks a customer-facing support specialist to assist clients with trusted data using the Data Intelligence Cloud. You will manage communications, escalate issues to dedicated teams, and contribute to a growing knowledge base to improve data quality and accessibility.

You will participate in on-call rotations, assess requests vs bugs, and collaborate with cross-functional teams to ensure secure, well-governed data across leading brands.

Qualifications

• 1+ year of experience in a customer-facing position.
• Ability to read system logs as part of ticket resolution.
• Familiarity with Linux systems.
• Knowledge of MySQL and PostgreSQL.
• Understanding of SSL, LDAP/SSO, networking and firewalls.
• Knowledge of Java and REST API.
• Knowledge of Kubernetes.

Responsibilities

• Managing all communication with indicated Client’s DQ customers and partners required to resolve support tickets with defined SLA
• Coordinating and tracking the escalation of tickets to Client's FTE support team
• Maintaining a record of all communication and actions for the support tickets in Zendesk provided by our Client
• Contributing frequently answered questions to the Client's knowledge base.
• Participating in the on-call rotations when needed for resolution of severe issues (Severity 1) . as soon as possible.
• Assessing if support tickets are feature requests or product bugs and replicating bugs.

Skills

Customer-facing experience

System logs reading

Linux

MySQL

PostgreSQL

SSL/LDAP-SSO

Networking basics

Java

REST API

Kubernetes

Spark

Hadoop

Job description

Capgemini Engineering seeks a customer-facing support specialist to assist clients with trusted data using the Data Intelligence Cloud. You will manage communications, escalate issues to dedicated teams, and contribute to a growing knowledge base to improve data quality and accessibility.

You will participate in on-call rotations, assess requests vs bugs, and collaborate with cross-functional teams to ensure secure, well-governed data across leading brands.