Lead Data Engineer
Openkyber
Data Engineer Job Description We are looking for a Senior Data Engineer with 8+ years of experience building and supporting enterprise data platforms. The ideal candidate will have strong hands-on expertise with Microsoft Fabric, Azure, ETL/ELT, SQL, Python, and modern cloud data platforms . Responsibilities Build and support scalable ETL/ELT and data integration pipelines.
Develop solutions using Microsoft Fabric, Data Factory, OneLake, Lakehouse, and Data Warehouse .
Perform complex SQL transformations, optimization, and performance tuning.
Develop data processing solutions using Python, Scala, or similar languages.
Build and maintain data warehouses, lakehouses, and analytics platforms.
Integrate data from APIs, databases, flat files, and enterprise applications.
Support Power BI, BI, and self-service analytics initiatives.
Apply enterprise, relational, and dimensional data modeling principles.
Mandatory Skills 8+ years Data Engineering, Microsoft Fabric, Fabric Data Factory, Azure Data Factory, OneLake, Lakehouse, Data Warehouse, SQL, Python/Scala, Azure Data Lake, ETL/ELT, Data Integration, Data Modeling, Cloud Data Platforms, Data Warehousing, Power BI, Big Data/Distributed Processing.
Preferred Azure Synapse, Snowflake, BigQuery, or similar cloud data warehouse experience.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 1 day ago
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