"Alerted.org

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 Cloud Data Engineer to join our team in Nashville, Tennessee (US-TN), United States (US).

Job Description:

Job Title: Cloud Data Engineer

NTT DATA is seeking a skilled Data Engineer to join our 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 at least 3 years of experience in data engineering, with expertise in Databricks, Snowflake and AWS data services.

Key Responsibilities:

Data Engineering:

+ Utilize your ETL/Data Engineering expertise in Databricks, Snowflake and Cloud data services to build and maintain robust data solutions.

+ Lead the evaluation of various catalogs and query engines for the Data Lakehouse platform, documenting findings and reviewing them with the architecture teams.

+ SQL, Python, and strong knowledge of the SDLC are required.

+ Build and manage dozens of data pipelines to source and transform data based on business requirements.

**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 Databricks and Snowflake for data analysis and discovery, ensuring data is accessible and actionable. Leverage 10+ sources of data to derive insights.

**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 Cloud native ETL services (i.e., AWS Glue or Snaplogic) and Python/SQL 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:

+ At least 5 years of experience in data engineering.

Technical Skills:

+ Proficiency in Snowflake and Cloud data services.

+ 5+ years of experience working with cloud services.

+ 2+ years of experience working with Databricks or Snowflake.

+ 3+ years working with PySpark. Proficiency in the following areas:

**Data Warehousing** : Strong knowledge of data warehousing concepts.

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

Data Integration: Proficiency in integrating data from various sources.

Data Platforms: Strong knowledge of data modeling, storage and design within Snowflake.

Data Security: Experience in securing data based on role and policy definitions.

Data Pipelines: Experience in building and managing data pipelines.

Cloud Experience: Experience AWS, Azure, or GCP data services.

GitHub: Proficiency in using GitHub for version control.

Preferred Technical skills: Apache Iceberg, Databricks, Dremio

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. Operate within a sprint model. Stories are assigned, developed, validated, and peer reviewed. Each story typically involves: Writing and executing scripts. Validating results and capturing observations Documenting outcomes in Confluence Conducting peer reviews and merging code into Git branches Architect Reviews: Present deliverables and findings to the architecture team for feedback and alignment.

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

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.