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:
Relational Databases (RDBMS), Azure Data Factory, Azure Synapse Analytics, Pyspark, Azure Data Lake, Sql, Python
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