Data Engineer

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Company: NTT DATA Services

Location: Nashville, TN 37211

Description:

Req ID: 306761

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.

We are currently seeking a Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).

Key Responsibilities:
  • Data Engineering: Utilize your expertise in Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction) to build and maintain robust data solutions using SQL/PLSQL (Oracle), Python, and Power BI with strong knowledge of the SDLC are required. Build and manage dozens of data pipelines to source and transform data based on business requirements. Java experience is preferred, but not required.
  • Financial Data Analysis: Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
  • Innovation and Learning: Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements. Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month's time.
  • Client Collaboration: Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management. Manage multiple stakeholder groups and their requirements.
  • Team Collaboration: Collaborate within a Pod of 4+ data engineers, working towards common objectives in a consultative fashion with clients.
  • Data Movement and Transformation: Use Azure Data Factory and SQL (PL/SQL as well) for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.
  • Industry Leadership: Work with a client that is leading the industry in using data to drive business decision optimization and investment management strategies.

Minimum Requirements:
  • 4+ years of experience in data engineering using Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction).
  • 2+ years experience in Python programming for data engineering and data pipelines.


Preferred Skills:
  • Experience in financial data analysis, risk, and compliance data management.
  • Ability to quickly learn new technologies by applying current skills.
  • Ability to adapt to new technologies quickly and efficiently.


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About NTT DATA

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

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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