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Data Engineer w/Data Lakehouse (Onsite)

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

What are the responsibilities and job description for the Data Engineer w/Data Lakehouse (Onsite) position at Nexient LLC?

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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