Kerja Sepenuh Masa, Senior Data Solutions Engineer di Luxoft Federal Territory - Maukerja

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.

Programming:

Python

SQL

Data Engineering:

Databricks or Apache Spark / PySpark

Cloud Platform:

Microsoft Azure

Examples:

Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure, Synapse Analytics, Microsoft Fabric

Data Processing:

ETL / ELT

Data Modeling

Data Pipeline Development

APIs:

FastAPI (preferred)

Flask / REST API development experience acceptable

Data Visualization

At least one of:

Power BI

Tableau

Looker

Similar BI platform

Data Science & AI

Machine Learning fundamentals

Predictive Analytics

AI/ML model integration

Statistical analysis

Advanced Data Platform

Azure Synapse

Microsoft Fabric

Azure ML

Snowflake

DevOps

Azure DevOps

Git

CI/CD pipelines