Data Engineer

Req ID: 318269

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.

Requirements:

• Experience: 4-7 years of experience in data engineering.

• Technical Skills: Proficiency Azure data services (Azure functions, Azure Data Factory, Azure Infrastructure, API based extraction). Proficiency in the following areas:

• Data Warehousing: Strong knowledge of data warehousing concepts.

• Python: Advanced skills in Python programming for data engineering and data pipelines.

• Data Integration: Proficiency in integrating data from various sources using API and file-based extraction.

• Data Platforms: Strong knowledge of relational databases and data warehouse/data lakes.

• Data Security: Expertise in securing data in transit and in rest.

• Data Pipelines: Experience in building and managing data pipelines using Azure Data Factory.

• Azure: Experience Azure data services such as Azure Data Factory, Azure Functions, Azure Data Lake storage.

• GitHub: Proficiency in using GitHub for version control.

• Java: Adequate level experience in Java

• Power BI: Adequate level experience in Power BI

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

• Learning Agility: Ability to quickly learn new technologies by applying current skills.

• Adaptability: Ability to adapt to new technologies quickly and efficiently.

Basic Qualifications:

• 4+ years of experience in data engineering.
• 2+ years of experience using Snowflake and Azure data services (Data Factory and Synapse).
• Must be a Green Card Holder or US Citizen.

Preferred Skills:

• Experience in financial data analysis, risk, and compliance data management.
• Strong team player with excellent communication and collaboration skills.
• Ability to quickly learn new technologies by applying current skills.
• Intermediate data engineering knowledge
• Works independently / with moderate oversight
• Effectively applies fundamental concepts, practices and procedures of the skill such as Snowflake, Power BI, Collibra/Alation, AWS/Azure
• Intermediate data and process modeling knowledge

Background Check: Must pass a background check, drug screening, and sign an NDA.

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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

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