Qureos

FIND_THE_RIGHTJOB.

Data Engineer

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

As a Data Engineer, you will be responsible for designing, architecting, and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled, automated, and analytics-driven platform. You will collaborate with business stakeholders, product owners, and engineering teams to define requirements, design and develop the API gateways and analytics and AI/ML. The ideal candidate has deep Data engineering skills, strong cloud and data expertise, and proven experience in building enterprise-grade data analytics products. In addition to hands-on development, you will provide technical leadership, ensure adherence to software engineering best practices, and support product lifecycle management.


Required Skills & Experience:

  • Expertise in cloud data architecture (GCP or Azure).
  • Strong experience in ETL design, data integration, and database management (Alteryx, SQL and NoSQL).
  • Hands-on experience in API development such as REST, GrapQL and Data streaming platform such as Kafka
  • Hands on experience with data analytics and visualization tools (Qlik Sense, Power BI, or Tableau).
  • Familiarity with AI/ML technologies and creating API endpoints
  • Experience with DevOps practices, CI/CD pipelines, and monitoring tools.

Proficiency in full stack development:

o Front-end: React, Angular, or similar frameworks.

o Back-end: Python, Node.js or Java

o Databases: PostgreSQL, BigQuery, NoSQL

  • Strong leadership in Agile/Scrum environments with JIRA or similar project management tools.
  • Excellent problem-solving, architectural thinking, and communication skills

Qualifications:

  • Bachelor’s or master’s degree or related field.
  • 5+ years of software development experience
  • Certifications in cloud platforms (AWS/Azure/GCP) is a plus.

Solution Architecture & Design

o Define and implement cloud-native architectures for scalable and secure data platforms.

o Design robust ETL pipelines and data integration frameworks.

o Create and maintain application and data models, ensuring alignment with business requirements.

API Development

o Develop end-to-end solution, from front-end interfaces to back-end services and APIs.

o Oversee code quality, architecture reviews, and best practices in software design.

o Drive automation in build, deployment, and release management.

Data Analytics & Reporting

o Build and optimize analytics and reporting dashboards for actionable insights.

o Implement solutions for data visualization, anomaly detection, and trend analysis.

Agile Methodology

o Collaborate with Product Management to define the roadmap, technical priorities, and release strategy.

o Actively participate in creating development workflows and sprint planning through JIRA

© 2025 Qureos. All rights reserved.