Senior Azure/Fabric Data Engineer
3 days ago
Responsibilities:
- We are looking for a highly skilled Databricks & Azure Senior Data Engineer with at least 6 to 10 years of experience to join our vibrant Data & Analytics team.
- The ideal candidate should have strong background in Azure data services, including Databricks, Synapse Analytics, Microsoft Fabric, PySpark and SQL.
- He/She will be responsible for designing, building, and maintaining scalable data solutions that meet business requirements and align with industry best practices.
What is expected out of you?
- 6+ years of experience as a Databricks & Data Engineer, building Azure-based data solutions using Data Factory, Synapse, Databricks.
- Expertise in Python, SQL (SparkSQL, TSQL, PLSQL), Dimensional Data Modeling, Data Warehousing, and ETL/ELT processes.
- Develop and optimize large-scale data pipelines using Databricks, Synapse, and Apache Spark.
- Integrate data into Azure Data Lake Storage via Data Factory and Data Flows.
- Architect Delta Lake & Lakehouse solutions for scalable analytics.
- Optimize performance across Databricks, and Synapse environments.
Good to have:
- Any ERP experience
- Leverage Microsoft Fabric for seamless data integration & transformation.
- Operationalize ML models in Databricks and automate CI/CD pipelines with Azure DevOps.
- Ensure data governance & security with Azure Purview & Databricks Unity Catalog
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