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About the role
Role Description * 3-5 + years of experience in Data Engineering / Data Platform Engineering. Strong hands-on experience with Microsoft Fabric, Azure Databricks, and modern Lakehouse architectures. Expertise in designing scalable ELT/ETL pipelines for large-scale data platforms. Strong proficiency in Python, PySpark, SQL, and dbt. Experience with Azure Data Lake Storage (ADLS), Delta Lake, and cloud data warehouses. Strong understanding of Medallion Architecture (Bronze, Silver, Gold). Experience with Microsoft Fabric Data Factory, Azure Data Factory, or similar orchestration tools. Strong knowledge of data modeling (Star Schema, Dimensional Modeling, SCDs). Experience with API integration and exposing curated datasets for downstream applications. Experience implementing data quality checks, logging, monitoring, and pipeline observability. Proficiency with Git, CI/CD, and modern software engineering best practices. Experience working with large-scale telemetry, IoT, SCADA, manufacturing, or industrial data is preferred. Excellent architecture, problem-solving, and mentoring skills. .
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