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Data Engineer w/Data Lakehouse (Onsite)

Nexient LLC
Salt Lake, UT Full Time
POSTED ON 1/20/2025
AVAILABLE BEFORE 4/19/2025

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

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We are currently seeking a Data Engineer w / Data Lakehouse (Onsite) to join our team in Salt Lake City, Utah (US-UT), United States (US).

We are looking for a Data Engineer to join our fast-growing team. This person will be responsible for expanding Cloud-based data pipeline architecture for the various cross-functional Tax teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with a keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Tax Compliance and Tax Reporting teams to support functional use-cases and take data-driven decisions.

Job Responsibilities Include :

  • Develop domain and data models to provide standardized reporting solutions to the firm (and understand differences between the two)
  • Design and develop data ingest and transform processes
  • Develop automation, governance and reporting solutions to provide firm and regulatory mandated controls
  • Work as part of a global team using Agile software methodologies
  • Partner with Tax risk, compliance and reporting teams
  • Use data to drive change throughout the Tax business

Basic Qualifications :

  • Minimum 5 years of relevant experience as a Data Engineer
  • 5 years of experience with SQL and relational databases
  • 5 years of experience with building workflows (ETL pipelines)
  • Preferred Skills :

  • Experience with data architecture, modeling and infrastructure
  • Proficiency in Python, Spark and the Hadoop ecosystem
  • MS / BS in Computer Science or relevant industry experience
  • Experience working with large and disparate datasets
  • Self-starter, motivated, and good communication skills
  • Problem solver with attention to detail who can see complex problems in the data space through end to end
  • Willingness to work in a fast-paced environment
  • Strong sense of ownership and driven to manage tasks to completion
  • Interest in applying technical knowledge to Financial Services industry
  • Bachelor’s degree or equivalent required
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