AWS Data Engineer: Build Scalable Data Pipelines

Data Engineer – AWS

We are seeking a detail‑oriented and capable Data Engineer – AWS to join our Data & AI practice. The successful candidate will bring solid experience in data engineering, ETL/ELT pipeline development, and cloud‑native platforms, with a strong focus on AWS‑based data ecosystems.

• Support delivery across data engineering and platform development initiatives.
• Collaborate with architects, engineers, and stakeholders to implement data solutions on AWS.
• Assist in planning and executing engineering tasks, releases, and deliverables.
• Build and maintain data pipelines and workflows on AWS, using YAML configuration.
• Support ingestion, transformation, and processing of structured and semi‑structured data.
• Contribute to the development of scalable, reusable data components and services.
• Test and validate data pipelines and processing jobs running on AWS services.
• Develop and execute data validation and reconciliation queries using SQL.
• Work with AWS services including AWS Glue and S3‑based data lakes.
• Support implementation of modern data platforms, including data lakes and lakehouse‑style architectures.
• Optimize data jobs for performance, scalability, and cost efficiency.

• Experience in data engineering or software engineering with a data focus.
• Strong interest in cloud‑based data platforms and distributed processing.
• Good analytical and problem‑solving skills.
• Attention to detail and commitment to data quality and reliability.
• Effective communication and teamwork skills.
• Willingness to learn and develop in AWS and modern data engineering.

• Experience with AWS cloud services, especially AWS Glue, Python/PySpark, and SQL querying.
• Exposure to YAML or configuration‑driven pipelines.
• Experience building or supporting data processes.
• Familiarity with data lakes and/or lakehouse concepts.
• Experience with distributed processing frameworks (e.g., Spark).
• Basic understanding of data architecture and architecture principles.
• Exposure to version control (Git) and CI/CD pipelines.

Equal Opportunity Employer

NTT DATA is an equal opportunities employer. We commit to promoting equity and diversity in our employment practices and providing reasonable adjustments for applicants with disabilities.