Senior Azure Data Engineer
Job Description
Job description
- Experience in distributed computing (spark) and software development.
- Experience in spark-scala.
- Experience in Data Engineering.
- Experience in Python
- Experience of working on Cloud environments (Azure).
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About Company
Skills:
Azure Data Factory (ADF), T-sql, Data Warehouse Concepts, Pyspark, SQL Server, Sql, Git, Python, Star Schema, Azure DevOps, Generative AI, AI-Assisted Development, Claude Claude Code, Fact Dimension modeling, Azure SQL Database, Stored Procedures, CI/CD, Microsoft Fabric
Skills:
Devops, Pyspark, Databricks, Python, Adf, Azure, P G frameworks like AI factory, Ultimate Pygentic, ADLS2
Skills:
Pyspark, Apache Spark, Azure Databricks, Sql, ELT, Git, Azure Data Factory, Python, Etl, Azure Data Lake Storage Gen2, Medallion Architecture, CI CD, Delta Lake
Skills:
Data Modeling, Sql, Databricks, ELT, Data Factory, Apache Spark, ARM templates, PowerShell, Automation Tools, Etl, Star Schema, Python, Version Control, Azure Data Lake, Application Insights, Azure Monitor, Snowflake Schema, DevOps methods, Azure Migrate, Log Analytics, Azure CLI, ASR, Azure Database Migration Service, Synapse Analytics
Skills:
Pyspark, Azure Databricks, Sql, Git, Data Quality Governance, ADLS Gen2, Medallion Architecture, DLT, Auto Loader, Unity Catalog, Delta Lake, Structured Streaming, CI-CD, Databricks Workflows