Senior Data Engineer

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 seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in enabling data‑driven decision-making by ensuring data is reliable, accessible, and optimized for analytics and machine learning use cases.

• Design, develop, and maintain scalable ETL/ELT pipelines
• Build and optimize data warehouses, data lakes, and lakehouse architectures
• Ensure efficient data ingestion, transformation, and storage
• Develop reusable frameworks and standards for data engineering best practice

• Design data models (dimensional, normalized, star/snowflake schemas)
• Collaborate with analytics teams to support BI and reporting requirements
• Optimize data structures for performance and scalability

• Build and maintain data solutions on cloud platforms (Azure, AWS, GCP)
• Implement and manage data tools such as Azure Data Factory / Synapse / Databricks, AWS Glue / Redshift / EMR, Google Big Query / Dataflow
• Ensure systems are secure, scalable, and cost‑efficient

• Develop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)
• Monitor and troubleshoot pipelines to ensure high availability and performance
• Implement robust error handling, logging, and alerting

• Ensure data quality, integrity, and consistency
• Implement validation, testing, and monitoring frameworks
• Work with governance teams on data security, compliance, and policies

• Partner with Data Scientists, Analysts, and Product teams
• Mentor junior data engineers and promote best practices
• Contribute to architectural decisions and strategic planning

• Strong proficiency in SQL and data modelling
• Excellent programming skills in Python, Scala, or Java
• Hands‑on experience with distributed data frameworks (Spark, Hadoop)
• Experience with data pipelines and ETL tools
• Expertise in at least one cloud platform:
  Azure (Synapse, Data Factory, Databricks), AWS (S3, Glue, Redshift, Lambda), GCP (Big Query, Dataflow)

• Experience with data warehousing solutions
• Streaming technologies (Kafka, Kinesis, Pub/Sub)
• Familiarity with Dev Ops/Data Ops practices
• CI/CD pipelines
• Infrastructure as Code (Terraform, ARM, Cloud Formation)

• Remote or hybrid work options may be available, subject to client requirements.

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  (). If you'd like more information on your EEO rights under the law, please  (). For Pay Transparency information, please  ().