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NTT DATA Americas, Inc

Azure Data Engineer with Java Experience

NTT DATA Americas, Inc, Nashville, Tennessee, United States, 37247

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Company Overview 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.

Req ID: 345459

Job Description Job Title:

Azure Data Engineer with Java experience

Details

Location:

Nashville, TN (On‑site at one of NTT DATA’s flagship data delivery centers)

Overview:

NTT DATA is seeking a skilled Azure Data Engineer to join the Data Village team. This role involves working on‑site in Nashville as part of a dynamic team focused on delivering cutting‑edge data solutions. The ideal candidate will have 4-7 years of experience in data engineering, with expertise in Azure Cloud, Azure Functions, SQL/PLSQL, Python, and Power BI.

Key Responsibilities

Build and maintain robust data solutions using Azure data services (functions, Data Factory, infrastructure, API‑based extraction), SQL/PLSQL (Oracle), Python, and Power BI.

Build data pipelines to source and transform data based on business requirements. Java experience is preferred but not required.

Apply financial data analysis, risk, and compliance data management to support financial services customers.

Continuously learn new technologies and adopt them within a month.

Collaborate 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.

Work within a pod of 4+ data engineers toward common objectives in a consultative fashion with clients.

Use Azure Data Factory, Azure Functions, and SQL (PL/SQL) for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.

Lead data initiatives with a client that is an industry leader in using data to drive business decision optimization and investment management strategies.

Requirements

4-7 years of experience in data engineering.

Proficiency in Azure data services: Azure Functions, Azure Data Factory, Azure infrastructure, API‑based extraction.

Strong knowledge of data warehousing concepts.

Advanced Python programming skills for data pipelines.

Experience integrating data from various sources using API and file‑based extraction.

Knowledge of relational databases and data warehouses/data lakes.

Expertise in securing data in transit and at rest.

Experience building and managing data pipelines using Azure Data Factory.

Experience with Azure Data Lake storage.

Proficiency with GitHub version control.

Adequate Java experience.

Adequate Power BI experience.

Nice to have: experience in financial data analysis, risk, and compliance data management.

Ability to learn new technologies quickly.

Adaptability to new technologies.

About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services, serving 75 % of the Fortune Global 100. We are a Global Top Employer with expertise in more than 50 countries. Our services include consulting, data and AI, industry solutions, and the implementation and management of applications, infrastructure, and connectivity. We invest over $3.6 billion annually in R&D to help organizations move confidently into the digital future. Visit us at us.nttdata.com.

Equal Opportunity Employer 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. For Pay Transparency information, please click here.

Accessibility NTT DATA endeavors to make its website accessible to all users. If you need assistance completing the application process or accessing the website, please contact us for accommodation requests. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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