Are you passionate about building scalable data pipelines and enabling AI-driven decision-making across the enterprise Join LevelShift as a Data Engineer Microsoft Fabric, where you'll design secure, reusable data architectures, optimize data workflows, and ensure high-quality, AI-ready data availability for analytics and machine learning initiatives.
What You'll Do
As a Data Engineer at LevelShift, you will:
- Build Scalable Data Pipelines: Design, build, and maintain automated data pipelines using Azure Data Factory, Synapse Pipelines, or Fabric Data Pipelines for both structured and unstructured data.
- Develop Data Models: Create optimized star and snowflake data models and feature datasets to support analytics, predictive modeling, and ML training.
- Integrate Diverse Data Sources: Ingest and harmonize data from on-premises systems, APIs, and SaaS applications into Azure Data Lake, Databricks, or Microsoft Fabric Lakehouse environments.
- Optimize Performance & Governance: Implement performance tuning, data quality validation, lineage tracking, and access governance following best practices.
- Enable AI/ML Readiness: Prepare well-structured, versioned datasets for model training and inference within Azure ML or Synapse ML environments.
Your Skillset
We're looking for a technically strong and detail-oriented Data Engineer with a passion for data platform innovation and operational excellence.
- 3+ years of experience in data engineering, data integration, or cloud data platform development.
- Core Languages: Proficient in SQL, Python, and PySpark.
- Azure Data Services: Hands-on experience with Azure Data Factory, Synapse Analytics, Azure SQL Database, and Data Lake.
- Data Modeling: Strong understanding of data modeling techniques, ETL/ELT design, and performance optimization for analytical workloads.
- Data Architecture: Experience in building scalable, maintainable, and reusable data solutions in the Microsoft Azure ecosystem.
- Fabric Experience: Familiarity with Microsoft Fabric for unified data integration and AI/ML workload preparation is a strong advantage.
- AI/ML Readiness: Experience designing datasets that support predictive modeling and ML workflows.
Why LevelShift
- Build enterprise-grade data solutions that power real-time analytics and AI transformation.
- Work with cutting-edge Microsoft technologies including Fabric, Synapse,and Azure ML.
- Collaborate with cross-functional teams across analytics, engineering, and AI disciplines.
- Join a forward-thinking environment that values innovation, learning, and data excellence.
If you're ready to design the data backbone that drives enterprise intelligence, apply now at [Confidential Information] and be part of our data modernization journey!
