Data Engineer

at  NTT Data

COMPANY OVERVIEW:

Req ID: 310960
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.

JOB DESCRIPTION:

Location: Nashville, TN (On-site at one of NTT DATA’s flagship data delivery centers)
Overview: NTT DATA is seeking a skilled Data Engineer to join our innovative 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 Snowflake and Azure data services.

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

Data Engineering: Utilize your expertise in Snowflake and Azure data services (Data Factory and Synapse) to build and maintain robust data solutions. SQL, Python and strong knowledge of the SDLC are required.
Financial Data Analysis: Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers.
Data Analysis and Discovery: Leverage AtScale for data analysis and discovery, ensuring data is accessible and actionable.
Innovation and Learning: Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements.
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.
Team Collaboration: Collaborate within a Pod of data engineers, working towards common objectives in a consultative fashion with clients.
Data Movement and Transformation: Use Apache NiFi 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.