NTT DATA is a team of more than 190,000 diverse professionals, operating in more than 50 countries throughout the world. The sectors where we have activities include: telecommunications, finance, industry, utilities, energy, public administration and health.

Our mission? Offer technological solutions, business, strategy, development and maintenance of applications, while being a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to the needs of each client. Our talent has led us to be one of the top 6 technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT DATA is looking for high-achieving team players that are quickly adaptable to new challenges and entrepreneurial ventures. We are looking for a Data Engineer to work 100% onsite in Orange, CT with our global client. 

Responsibilities:

• Join an exciting project to shape our client’s digital backbone, making a direct and meaningful impact on business operations, scalability, and growth.
• Work closely with stakeholders across departments, with a unique opportunity to bridge technical and business perspectives and develop well-rounded, influential relationships.
• Implement changes such as pipeline updates, database and table modifications (ensuring data preservation), and data redesigns to support dashboard creation, utilizing notebooks or code changes and compilation.
• Develop and optimize ETL (Extract, Transform, Load) processes using tools like Azure Data Factory and Azure Synapse.
• Ensure efficient and reliable ingestion, transformation, and loading of data into the data platform while collaborating with various teams, data sources, and formats.
• Provision, configure, and monitor Azure data services such as Linked Services, SFTP connections, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage Gen2, and Cosmos DB.
• Design and implement ticketing solutions.
• Replicate and implement the existing Azure data lake architecture within AWS.
• Separate UAT and PROD environments, ensuring use cases adhere to data architecture standards and naming conventions.
• Establish and enforce data quality rules to maintain consistency and reliability.
• Design and implement storage solutions using Azure services like Blob Storage, Data Lake Storage Gen2, SQL Database, Synapse Analytics, or Cosmos DB.
• Optimize storage for cost and performance while ensuring data security and compliance with regulations.
• Monitor data pipelines and storage solutions to identify bottlenecks, optimize performance, and meet SLAs and performance requirements.
• Automate tasks including data pipeline deployments, infrastructure provisioning, and monitoring using Infrastructure-as-Code (IaC) tools like ARM templates and Terraform.
• Implement CI/CD pipelines to improve operational efficiency and reduce errors.

Requirements:

• Bachelor's degree in computer science, information technology, or a related field.
• 4+ years of experience in system architecture and/or system administration and/or data projects maintenance.
• Experience with data security and data access controls.
• Expertise in Azure Platform as a Service (PAAS) model and integrations.
• Extensive knowledge in data pipelines, firewalls, operating systems, web services, networking, and the cloud.
• Strong understanding of system architecture principles and best practices.
• Proven experience utilizing critical thinking skills to know when to inform, lead, and listen to drive our business forward.
• Ability to work effectively with cross-functional teams.
• Strength for teamwork and autonomous learning.

Nice-to-Have:

• 7+ years of experience in system architecture and/or system administration and/or data projects maintenance.
• Experience with Microstrategy, Power BI, Cognos, and/or Informatica PC.
• Experience with Agile management philosophy implemented in Scrum framework.
• Experience with leading and mentoring teams.
• Microsoft Certified in Azure Data Fundamentals (DP-900), Azure Data Engineer Associate (DP-200 & 201), Azure Data Engineer (DP-203), or Azure Synapse Analytics (DP-3012-A).

Why NTT DATA?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allows us to transform our goals into achievements, and projects into realities.

NTT DATA is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT DATA is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.