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Data EngineerThe Nippon Telegraph and Telephone Corporation (NTT)United States
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Data Engineer

The Nippon Telegraph and Telephone Corporation (NTT)
  • US
    United States
  • US
    United States

Über

Req ID: 367206 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.
NTT DATA's Client is currently seeking a Data Engineer to join their team in Dallas, Texas (US-TX), United States (US).
Job Description: Responsibilities: Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project for Client. Responsibilities of the Engineer includes: Pipeline Migration Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment. Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity. Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off " conversations with data owners to ensure migrated assets meet business requirements. Consumption Pattern Migration Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg. Usage analysis: Understand usage patterns to deliver the required data products. Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off " conversations with data owners to ensure migrated assets meet business requirements. Data Reconciliation & Quality A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows. Engineer will also need to work with our other internal data management platform, and must have an aptitude for learning new workflows and language constructs as necessary. Technical Skills: Basic Qualifications
Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field. Experience: Minimum of 3-5 years of professional "hands-on-keyboard " coding experience in a collaborative, team-based environment. Ability to trouble shoot (SQL) and basic scripting experience. Languages: Professional proficiency in Python or Java. Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience. Core Data Engineering Competencies: Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation: Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2). Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies. Performance Optimization: Advanced knowledge of data partitioning and clustering. Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys. Technical Stack Requirements: While candidates are not expected to be experts in every tool, the collective team must cover the following technologies:
Extraction & Logic Kafka, ANSI SQL, FTP, Apache Spark Data Formats JSON, Avro, Parquet Platforms Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ Core Competencies: Demonstrates strong integrity and consistently models good conduct and ethical decision-making. Acts as a trusted team player who collaborates effectively across multiple teams and functions. Communicates with clarity and confidence - concise written updates, structured verbal briefings, and proactive stakeholder management. Works effectively with global teams across time zones and cultures; builds alignment and resolves issues constructively. Delivery-focused with a strong sense of ownership; drives work to closure and meets commitments. Brings high energy and urgency to achieve targets while maintaining quality and professionalism. Shows intellectual curiosity; asks thoughtful questions, surfaces risks early, and seeks feedback to continuously improve. 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.
  • United States

Sprachkenntnisse

  • English
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