Backend Developer & Data Specialist at Altario
Braga, Norte, Portugal -
Full Time


Start Date

Immediate

Expiry Date

22 Apr, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Elasticsearch, Optimization Techniques, Architecture, Search Engines, Microservices, English

Industry

Information Technology/IT

Description

Hello!
Are you an experienced Backend Developer & Data Specialist looking to grow in a team of highly-skilled, top-talent innovators while working on multiple products in a range of industries?
If so, Altar may be the right place for you.
We’re looking for a Backend Developer with deep database expertise to join our innovative team at Altar. You’ll work on cutting-edge projects across various industries, collaborating with entrepreneurs and business leaders from companies like YouTube, HSBC, and Coca-Cola.
With us, you’ll not be alone working in these cutting-edge technologies. You’ll be among a cross-functional team of seasoned Altarions with expertise in a multitude of sectors, from fintech and marketplace to AI and IoT.

THE HANDS-ON EXPERIENCE WE NEED YOU TO BRING TO THE TABLE:

  • 3+ years as a Backend Developer with Node.js/Express.js
  • Some experience with multiple database types: Relational (PostgreSQL, MySQL) Document (MongoDB) Vector DBs Graph DBs Search engines (Elasticsearch) In-memory (Redis) Time-series Ledger databases
  • Practical knowledge of: Database optimization techniques Sharding and partitioning Views and triggers Backup/restore procedures ETL processes
  • Experience with microservices architecture
  • Fluency in both written and spoken English
  • Experience with cloud platforms (AWS/GCP/Azure)
  • Knowledge of Docker/Kubernetes
  • Familiarity with data lakes
  • Experience with monitoring tools
  • CI/CD pipeline expertise
Responsibilities

As a Backend Developer & Data Specialist, you’ll:

  • Design and develop microservices and REST/GraphQL APIs;

    • Architect and implement database solutions across multiple paradigms;
  • Optimize database performance and query efficiency;
  • Create and maintain ETL pipelines;
  • Implement data migration strategies.
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