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PySpark/TeraData Engineer

Experis

 

Charlotte, NC, USA

Posted On: 30+ days ago
Experience: 6+ years
Availability: Onsite
Openings: 1
Category: Teradata Engineer
Tenure: No Preference/Any
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Description

What's the Job?

  • Operate across legacy enterprise data warehouse ecosystems, specifically Teradata, to support existing business applications.
  • Design, develop, enhance, and support applications that integrate with various business components using established frameworks and technologies.
  • Analyze, troubleshoot, and resolve application and process issues, coordinating with customer-facing support teams.
  • Collaborate with business stakeholders to understand requirements and analyze the potential impact of change requests.
  • Communicate work progress regularly with management, identifying issues early and resolving them efficiently to minimize project impact.

What's Needed?

  • 4+ years of experience with end-to-end application development on Teradata data-warehouse and analytical platforms.
  • 2+ years of experience with Big Data Technologies such as Hadoop, Hive, and PySpark.
  • Proficiency in developing complex SQL-based ETL workflows using native utilities like BTEQ, TPT, and FastExport.
  • Good knowledge of Unix/Linux shell scripting and scheduling tools like Autosys.
  • Experience working with Big Data tools such as Hadoop, Hive, Sqoop, Impala, Kafka, and Python/Spark/PySpark workloads

Education

Any Graduate

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