N-iX logo

Senior QA Big Data

N-iX Ukraine

remote

Salary: 500 compa

Posted Dec 22, 2025

Role & seniority: QA Engineer specializing in data/real-time platforms (seniority not specified)

Stack/tools: Structured Streaming, Kafka, Azure Event Hub; Azure Functions, ADF; AirFlow; Kubernetes; Prometheus, Grafana; API testing (Postman, REST Assured); SQL, Python/PySpark; CI/CD; Jira/Confluence

Top 3 responsibilities

  1. Design and execute test strategies for real-time streaming workflows and data pipelines

  2. Validate data products transitioning from monolithic to microservices; conduct API testing of data services and orchestration layers

  3. Implement observability, monitor pipeline health/performance, and collaborate with DevOps to ensure quality in Kubernetes deployments; perform functional/integration/performance testing; support data governance and SLA initiatives

Must-have skills

  • QA experience in data engineering or real-time data platforms

  • Strong streaming tech knowledge (Structured Streaming, Kafka, Azure Event Hub)

  • API testing experience (Postman, REST Assured)

  • Kubernetes, observability tools (Prometheus, Grafana)

  • SQL and basic scripting (Python/PySpark preferred)

  • Azure Cloud services (Azure Functions, ADF, Event Hub)

  • Orchestration frameworks (AirFlow), CI/CD pipelines

Nice-to-haves

  • Iceberg and ClickHouse exposure

  • Knowledge of Kappa Architecture and Data Mesh

  • Data product testing in microservices environments

  • BI tools (Power BI, Qlik)

  • Location & work type: Flexible working format (remote, office-ba

Full Description

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

About the Client

Our client is involved in a large-scale Data Transformation project, with a focus on solidifying the foundation of their data operations. They are aiming to ensure that data is accurate, consistent, and available at critical times to support their business needs.

Key Responsibilities

Design and execute test strategies for real-time streaming workflows (Structured Streaming, Azure Event Hub, Topics & Queues). Validate data products transitioning from monolithic to microservices architecture. Perform API testing for data services and orchestration layers. Implement observability checks using Prometheus & Grafana for monitoring pipeline health and performance. Collaborate with DevOps teams to ensure Kubernetes-based deployments meet quality standards. Conduct functional, integration, and performance testing for Azure Functions and orchestration workflows. Ensure compliance with data governance and SLA optimization initiatives. Document test cases, results, and maintain traceability in tools like Jira/Confluence.

Requirements

QA experience in data engineering or real-time data platforms. Strong knowledge of streaming technologies (Structured Streaming, Kafka, Azure Event Hub). Hands-on experience with API testing (Postman, REST Assured). Familiarity with Kubernetes deployments and observability tools (Prometheus, Grafana). Proficiency in SQL and basic scripting (Python/PySpark preferred). Experience with Azure Cloud services (Azure Functions, ADF, Event Hub). Knowledge of orchestration frameworks (AirFlow preferably) and CI/CD pipelines.

Would be a plus

Exposure to Iceberg and ClickHouse. Understanding of Kappa Architecture and Data Mesh principles. Experience with data product testing in microservices environments. Familiarity with BI tools (Power BI, Qlik).

We offer*

Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers Show more Show less

QA ExperienceData EngineeringReal-Time Data PlatformsStreaming TechnologiesAPI TestingKubernetes DeploymentsObservability ToolsSQLScriptingAzure Cloud ServicesOrchestration FrameworksCI/CD Pipelines

Cookies & analytics consent

We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.

Read how we use data in our Privacy Policy and Terms of Service.