Data Engineer (On-Site Dallas)
NTT DATA, Inc., Dallas, TX, United States
Req ID:
367639
We are currently seeking a Data Engineer (On-Site Dallas) to join our team in Dallas, Texas (US-TX), United States (US). This role will be on-site 5 days/week.
Data Engineer – Job Description (Dallas, TX)
Day to Day job Duties:
Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on‑prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project.
Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
Executing the physical migration of underlying datasets while ensuring data integrity.
Acting as a technical liaison to internal clients, facilitating handoff and sign‑off conversations with data owners.
Translating and optimizing legacy SQL and Spark‑based consumption patterns for compatibility with Snowflake and Iceberg.
Understanding usage patterns to deliver the required data products.
Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data.
Working with internal data management platforms and learning new workflows and language constructs as necessary.
Core Data Engineering Competencies:
Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
Schema Management: Expertise in Schema Evolution (Apache Iceberg) and enforcement strategies.
Performance Optimization: Knowledge of data partitioning and clustering.
Architectural Theory: Balancing normalization vs denormalization and natural vs surrogate keys.
Extraction & Logic: Kafka, ANSI SQL, FTP, Apache Spark
Data Formats: JSON, Avro, Parquet
Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ
Demonstrates strong integrity and ethical decision‑making.
Acts as a trusted team player collaborating across teams.
Communicates with clarity and confidence.
Works effectively with global teams.
Delivery‑focused with strong ownership.
High energy and urgency with professionalism.
Shows intellectual curiosity and continuous improvement.
Basic Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or related field.
Experience: Minimum 3–5 years of hands‑on coding experience; ability to troubleshoot SQL and basic scripting.
3+ years of professional proficiency in Python or Java.
3+ years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience.
Nice to Have:
Migration experience
Financial services domain
Lakehouse experience
Equal Employment Opportunity
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.
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367639
We are currently seeking a Data Engineer (On-Site Dallas) to join our team in Dallas, Texas (US-TX), United States (US). This role will be on-site 5 days/week.
Data Engineer – Job Description (Dallas, TX)
Day to Day job Duties:
Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on‑prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project.
Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
Executing the physical migration of underlying datasets while ensuring data integrity.
Acting as a technical liaison to internal clients, facilitating handoff and sign‑off conversations with data owners.
Translating and optimizing legacy SQL and Spark‑based consumption patterns for compatibility with Snowflake and Iceberg.
Understanding usage patterns to deliver the required data products.
Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data.
Working with internal data management platforms and learning new workflows and language constructs as necessary.
Core Data Engineering Competencies:
Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
Schema Management: Expertise in Schema Evolution (Apache Iceberg) and enforcement strategies.
Performance Optimization: Knowledge of data partitioning and clustering.
Architectural Theory: Balancing normalization vs denormalization and natural vs surrogate keys.
Extraction & Logic: Kafka, ANSI SQL, FTP, Apache Spark
Data Formats: JSON, Avro, Parquet
Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ
Demonstrates strong integrity and ethical decision‑making.
Acts as a trusted team player collaborating across teams.
Communicates with clarity and confidence.
Works effectively with global teams.
Delivery‑focused with strong ownership.
High energy and urgency with professionalism.
Shows intellectual curiosity and continuous improvement.
Basic Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or related field.
Experience: Minimum 3–5 years of hands‑on coding experience; ability to troubleshoot SQL and basic scripting.
3+ years of professional proficiency in Python or Java.
3+ years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience.
Nice to Have:
Migration experience
Financial services domain
Lakehouse experience
Equal Employment Opportunity
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.
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