Data Engineer

Job highlights

Identified by Google from the original job post

Qualifications

• 8 to 9 years of overall professional experience
• Advanced SQL proficiency
• Hands-on experience with Databricks and PySpark
• Experience with Azure cloud environments
• Proficiency in SQL Server and SSIS
• Experience with Power BI or Tableau
• Working knowledge of SQL Server, MongoDB, or other database systems
• Retail domain experience with SAP data sources (Finance, Supply Chain, or Material Management)
• Experience with Product Master, Customer Master, or Pricing data

Responsibilities

• You will manage data migration and integration from SAP and non-SAP sources into Azure environments
• Execute data migration and integration from SAP and other non-SAP data sources to Azure
• Develop and maintain data pipelines using Databricks and PySpark
• Manage data workflows within SQL Server and SSIS environments
• Implement data governance, observability, and security protocols

Job description

You will manage data migration and integration from SAP and non-SAP sources into Azure environments.
Responsibilities
• Execute data migration and integration from SAP and other non-SAP data sources to Azure.
• Develop and maintain data pipelines using Databricks and PySpark.
• Manage data workflows within SQL Server and SSIS environments.
• Implement data governance, observability, and security protocols.
Required Skills
• 8 to 9 years of overall professional experience.
• Advanced SQL proficiency.
• Hands-on experience with Databricks and PySpark.
• Experience with Azure cloud environments.
• Proficiency in SQL Server and SSIS.
• Experience with Power BI or Tableau.
• Working knowledge of SQL Server, MongoDB, or other database systems.
• Retail domain experience with SAP data sources (Finance, Supply Chain, or Material Management).
• Experience with Product Master, Customer Master, or Pricing data.