Senior Data Backend Engineer (Databricks, FastAPI & Azure)

Luxoft

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

2 days ago
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Job summary

Luxoft is seeking an experienced data/ software engineer to develop a scalable analytics platform for a premium OEM in Asia. You will design data processing, build pipelines, and expose analytics through REST APIs using FastAPI.

You will collaborate with analysts and product stakeholders, implement robust SQL/data models, and deploy solutions on Azure, while driving code quality and performance improvements. Mentoring junior staff is expected.

Qualifications

  • 5+ years of software/data engineering experience.
  • Hands-on experience with Databricks.
  • Strong SQL and data modeling skills.
  • Experience developing APIs with FastAPI.
  • Experience with Azure cloud services.
  • Understanding ETL/ELT concepts and data pipeline design.
  • Experience with Git and CI/CD pipelines.

Responsibilities

  • Design and develop scalable data processing solutions using Python and Databricks.
  • Build and maintain data pipelines for ingestion, transformation, and aggregation of business data.
  • Develop REST APIs using FastAPI to expose data and analytical services to consuming applications.
  • Design and optimize SQL queries and data models.
  • Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions.
  • Deploy and maintain solutions on Microsoft Azure.
  • Drive best practices in performance optimization, monitoring, testing, and code quality.
  • Mentor junior engineers and contribute to architectural decisions.

Skills

Python
SQL modeling
API development
CI/CD
Data pipelines

Tools

Databricks
FastAPI
Azure
Git

Job description

Luxoft is seeking an experienced data/ software engineer to develop a scalable analytics platform for a premium OEM in Asia. You will design data processing, build pipelines, and expose analytics through REST APIs using FastAPI.

You will collaborate with analysts and product stakeholders, implement robust SQL/data models, and deploy solutions on Azure, while driving code quality and performance improvements. Mentoring junior staff is expected.

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