Azure Data Engineer
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Job Description
Role: Azure Data Engineer
Experience: 5 + years – 12 years
Experience
Experience: 5 + years – 12 years
Experience
- 5+ years of experience working as a Data Engineer.
- Strong proficiency in SQL.
- Hands-on experience with Python and/or SQL.
- Solid experience with relational databases (RDBMS).
- Practical experience with Azure data services, including:
- Azure Data Lake
- Azure Synapse Analytics
- Azure Data Factory
- PySpark
More Info
Key Skills
Relational Databases (RDBMS)
About Company
Skills:
Power Bi, Pyspark, Data Modeling, Dimensional Modeling, Azure Data Factory, Azure Synapse Analytics, Sql Programming, Snowflake schemas, Azure Data Lake Storage Gen2, Azure SQL Database, Microsoft Azure data services, Star schemas, Microsoft Fabric, Data Lake architecture
Skills:
snowflake , Adb, Adf, Data Warehouse Architecture, Redshift, Sql, Gcp, Terraform, Spark, Azure, Python, AWS, Big Query, Databricks SQL, Infrastructure as Code, Teradata, Synapse, CI/CD
Skills:
Azure Synapse, C#, Azure Data Factory, Sql, Python, ADLS Gen2
Skills:
Sql, Databricks, ELT, Data Factory, Data Governance, Data Lake, Pyspark, Etl, Data Warehousing, Spark SQL, Python, Azure DevOps, Prefect, Repos, security best practices, Fivetran, CI CD, Pipelines, Azure Data Services, dbt
Skills:
SSIS, T-sql, Pyspark, Power Bi, Dax, Ssas, Scala, Azure Data Bricks, Azure Data Factory, Ssrs, Python, Warehouse, Azure Data Platform, Gen2, Microsoft Fabric Pipelines, Azure Analysis Services, Dataflows, Notebooks, Delta tables, Azure Data Lake Analytics, Lakehouse, ADLS Gen2, Azure SQL DW, Delta Lake operations, Azure SQL DB, Azure Data Lake Store