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About the Role
**_Summary:_**
_Software Engineer with 4 years of experience in ETL and Data Warehousing. The ideal candidate will have strong hands-on expertise in SQL development across Hive, Spark, and Impala, along with a solid understanding of cloud ecosystems. This role requires proficiency in big data technologies and scripting, as well as flexibility to collaborate during U.S. business hours. AWS certification is a plus._
**_Core Responsibilities:_**
_Design, develop, and maintain ETL workflows and data pipelines for large-scale data processing._
_Write and optimize medium-complexity SQL queries on Hive, Spark, and Impala for use case-driven scenarios._
_Develop and maintain scripts using HIVE, PySpark, Spark, and Scala for data transformation and processing._
_Implement and troubleshoot Unix Shell scripts for automation and system tasks._
_Collaborate with cross-functional teams to ensure data integrity and performance._
_Work in alignment with U.S. business hours for ...
_Software Engineer with 4 years of experience in ETL and Data Warehousing. The ideal candidate will have strong hands-on expertise in SQL development across Hive, Spark, and Impala, along with a solid understanding of cloud ecosystems. This role requires proficiency in big data technologies and scripting, as well as flexibility to collaborate during U.S. business hours. AWS certification is a plus._
**_Core Responsibilities:_**
_Design, develop, and maintain ETL workflows and data pipelines for large-scale data processing._
_Write and optimize medium-complexity SQL queries on Hive, Spark, and Impala for use case-driven scenarios._
_Develop and maintain scripts using HIVE, PySpark, Spark, and Scala for data transformation and processing._
_Implement and troubleshoot Unix Shell scripts for automation and system tasks._
_Collaborate with cross-functional teams to ensure data integrity and performance._
_Work in alignment with U.S. business hours for ...
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