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NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
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NTT DATA's Client is looking for a Data Engineer to join their 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 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.
HOW YOU WILL FULFILL YOUR POTENTIAL
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
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
Bachelor's degree or equivalent required
Minimum 2 years of relevant professional experience (VP - requires more)
Experience with SQL and relational databases
Experience with building workflows (ETL pipelines)
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
Preferred Qualifications
Experience with data architecture, modeling and infrastructure
Proficiency in Python, Spark and the Hadoop ecosystem
MS/BS in Computer Science or relevant industry experience.
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