Senior Data Solutions Engineer

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

Project description

We are looking for a versatile Data Solutions Engineer capable of supporting the complete data lifecycle, from data ingestion and engineering to analytics, visualization, and API enablement.The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.This role requires a flexible mindset, as the engineer may rotate between Data Engineering, Data Analytics, and Data Visualization initiatives depending on project priorities.

Responsibilities

• - Design, develop, and maintain scalable data pipelines.
• - Build and optimize ETL/ELT processes.
• - Develop data ingestion, transformation, and aggregation workflows.
• - Ensure data quality, reliability, and performance.
• - Develop solutions using cloud-based data platforms.
• - Build and optimize data processing notebooks and workflows.
• - Work with Data Lakes, Lakehouse architectures, and distributed data processing technologies.
• - Support CI/CD and deployment activities for data solutions.
• - Collaborate with business users to gather and clarify requirements.
• - Translate business needs into analytical and technical solutions.
• - Develop KPI calculations, reporting logic, and support data exploration for business insights.
• - Build dashboards and reports to enable self-service analytics and decision-making.
• - Develop and maintain APIs to expose data products and integrate with consuming applications.

SKILLS

Must have

• Programming:- Python- SQLData Engineering:- Databricks or Apache Spark / PySparkCloud Platform:- Microsoft AzureExamples:Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure, Synapse Analytics, Microsoft FabricData Processing:- ETL / ELT- Data Modeling- Data Pipeline DevelopmentAPIs:- FastAPI (preferred)- Flask / REST API development experience acceptableData VisualizationAt least one of:- Power BI- Tableau- Looker- Similar BI platform

Nice to have

Data Science & AIMachine Learning fundamentalsPredictive AnalyticsAI/ML model integrationStatistical analysisAdvanced Data PlatformAzure SynapseMicrosoft FabricAzure MLSnowflakeDevOpsAzure DevOpsGitCI/CD pipelines