Senior Data Backend Engineer: Python, Databricks, Azure

Luxoft Malaysia

Penang

On-site

MYR 180,000 - 260,000

Full time

14 days+
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Job summary

Luxoft Malaysia is seeking a seasoned software/data engineer to design and deliver scalable data processing solutions using Python and Databricks, supporting a premium German OEM's Asia region.

You will build data pipelines, expose analytics via FastAPI, and collaborate across analysts and product teams while deploying on Azure and upholding code quality. Mentoring junior engineers and shaping architecture are key aspects of this role.

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 of 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

5+ years software/data engineering
Databricks
SQL / data modeling
FastAPI
Azure cloud services
ETL / ELT concepts
Git / CI_CD pipelines

Job description

Luxoft Malaysia is seeking a seasoned software/data engineer to design and deliver scalable data processing solutions using Python and Databricks, supporting a premium German OEM's Asia region.

You will build data pipelines, expose analytics via FastAPI, and collaborate across analysts and product teams while deploying on Azure and upholding code quality. Mentoring junior engineers and shaping architecture are key aspects of this role.

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