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PySpark/Teradata Engineer

Experis

 

Charlotte, NC, USA

Posted On: 15+ days ago
Experience: 6+ years
Availability: Onsite
Openings: 1
Category: Teradata Engineer
Tenure: No Preference/Any
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Description

You will design, develop, and support applications within legacy enterprise data warehouse ecosystems, specifically Teradata, to sustain existing business applications.

This role is on-site.

Responsibilities

  • Design and enhance applications integrating with various business components using established frameworks.
  • Analyze, troubleshoot, and resolve application and process issues in coordination with support teams.
  • Collaborate with business stakeholders to define requirements and assess the impact of change requests.
  • Communicate progress to management and identify issues early to minimize project impact.

Required Skills

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

Preferred Skills

  • Experience coordinating with customer-facing support teams.

Education

Any Graduate

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