Senior Data Engineer

Project Highlights: Duration: Long-term stability (3+ years). Work Setup: 100% Remote. Engagement Model: Project-based employment / contractual setup (specific employment model and local arrangements to be discussed). Key Requirements: Core Tech: Strong hands-on expertise with Python and PySpark . Cloud & Data Stack: Proven experience with Azure Databricks and Azure Data Lake (ADLS) . Data Engineering: Deep background in designing ETL/ELT processes, building Data Lakehouse architectures, and optimizing data pipelines. Languages: Fluent English (Upper-Intermediate or higher). Nice to Have: Experience with Azure Data Factory and Unity Catalog . What We Offer: Work on complex, high-impact engineering challenges in Big Data. Long-term stability without the hassle of jumping between short gig assignments. Fully remote flexibility.