Data Engineer
3 days ago
Responsibilities
- Responsible for day-to-day tasks related to data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics.
- Work with Azure Data Factory (ADF) and Databricks to design, develop, and maintain data pipelines and data platforms.
- Build operational and automated dashboards, reports with help of Power BI and other reporting tools.
Qualifications
- Proficiency in reporting tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI.
- Proficiency in Azure Data Factory (ADF), Azure Data Lake and Databricks.
- Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview.
- Extensive knowledge on big data concepts like Hive, and spark framework.
- Should be able to write complex SQL queries. Sound understanding of DWH concepts.
- Strong hands-on experience on Python and/or Scala.
Required Skills
- Proficiency in reporting tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI.
- Proficiency in Azure Data Factory (ADF), Azure Data Lake and Databricks.
- Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview.
- Extensive knowledge on big data concepts like Hive, and spark framework.
- Should be able to write complex SQL queries. Sound understanding of DWH concepts.
- Strong hands-on experience on Python and/or Scala.
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