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^Data Engineer - 5436151

$110,989 - $131,789/Yr

Accenture - Florham Park, NJ

posted 2 months ago

Full-time - Entry Level
Florham Park, NJ
Professional, Scientific, and Technical Services

About the position

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Responsibilities

  • Design, develop, and maintain data solutions for data generation, collection, and processing.
  • Create data pipelines, ensuring data quality, and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems.
  • Perform independently and become a subject matter expert (SME).
  • Actively participate and contribute in team discussions, providing solutions to work-related problems.
  • Develop innovative data solutions to optimize data generation, collection, and processing.
  • Collaborate with cross-functional teams to ensure data quality and integrity.
  • Implement and maintain efficient data pipelines for seamless data migration and deployment.
  • Troubleshoot and resolve data-related issues to ensure smooth data operations.
  • Stay updated with the latest industry trends and technologies to continuously improve data solutions.

Requirements

  • Minimum 2 years with Databricks Platform
  • Minimum 2 years with Microsoft Azure Data Lake Analytics
  • Minimum 2 years with Python
  • Minimum 2 years with Teradata
  • High School Diploma or GED

Nice-to-haves

  • Proficiency in Databricks Platform
  • Experience with Microsoft Azure Data Lake Analytics
  • Knowledge of Python on Azure
  • Familiarity with Teradata Vantage

Benefits

  • Competitive rewards
  • Access to benefits programs
  • World-class learning resources
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