Data Solutions Engineer: Pipelines, Analytics & APIs

Luxoft Germany; Kuala Lumpur; Hybride; MYR 120 000 - 180 000; Plein temps

Résumé du poste

Luxoft Germany is seeking a versatile Data Solutions Engineer in Kuala Lumpur to support end-to-end data lifecycle—from ingestion and engineering to analytics and API enablement.

You will rotate across data engineering, analytics, and visualization initiatives, collaborating with business stakeholders to deliver reliable data products and dashboards that empower self-service analytics.

Qualifications

• Proficient in Python and SQL for data engineering tasks.
• Experience building scalable data pipelines and ETL/ELT processes.
• Strong knowledge of data modeling and data quality practices.

Responsabilités

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT processes to support analytics.
• Develop data ingestion, transformation, and aggregation workflows.

Connaissances

Python

SQL

Data Modeling

Outils

Azure

Databricks

Spark / PySpark

REST APIs

FastAPI / Flask

Power BI

Tableau

Looker

Azure Data Factory

Azure Data Lake Storage

Azure Synapse

Microsoft Fabric

CI/CD

Git

Description du poste

Luxoft Germany is seeking a versatile Data Solutions Engineer in Kuala Lumpur to support end-to-end data lifecycle—from ingestion and engineering to analytics and API enablement.

You will rotate across data engineering, analytics, and visualization initiatives, collaborating with business stakeholders to deliver reliable data products and dashboards that empower self-service analytics.