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Technical Hiring Criteria (Must Haves):
- Programming Languages: Python/Scala
- Platform/Environment: Data Engineering in Azure Stack (ADF, ADLS, Azure SQL DW, AAS, DBX, Azure Synapse, Power BI)
- Database Management System: Spark/Databricks
- Application Packages, etc: NA
- Years of experience on each of the Technical must have skills: 8+
- Any Certifications required: AWS certification
Detailed Job Description:
- Extensive knowledge in Stake holder management skills, Data Engineering in Azure Stack ADF, ADLS, Azure SQL DW, AAS, DBX, Azure Synapse, Power BI.
- Experience in Spark, Databricks and coding experience in Python, Scala Stake holder management skills, Data Engineering in Azure Stack ADF, ADLS, Azure SQL DW, AAS, DBX, Azure Synapse, Power BI.
- Experience in Spark, Databricks and coding experience in Python, Scala.
- Good Team Player.
Certifications Needed: Yes
Minimum years of experience: 8+
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
- Stake holder management skills
- Data Engineering in Azure Stack ADF, ADLS, Azure SQL DW, AAS, DBX, Azure Synapse, Power BI
- Experience in SparkDatabricks and coding experience in PythonScala