Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.
Your day at NTT DATA
We are looking for a highly experienced Senior Data Engineer with strong expertise in building, maintaining, and optimizing cloud-based data platforms. This role is ideal for someone who has deep technical knowledge in modern data architectures, scalable pipelines, cloud technologies, and enterprise level data operations.
You will lead the design and development of data solutions that empower analytics, machine learning, and business intelligence across the organization. The ideal candidate has hands-on experience with cloud data platforms (AWS, GCP, or Azure), distributed processing frameworks, data modeling, and best-in class engineering practices.
Key responsibilities:

• Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure). • Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads.
• Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services.
• Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases.
• Ensure high data quality, governance, security, and compliance across all data systems.
• Implement best practices in data modeling, data partitioning, orchestration, and workflows.
• Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines.
• Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation.
• Evaluate and introduce new technologies and frameworks to enhance the data ecosystem.
• Mentor junior engineers and lead technical discussions within the data team.

Requirements:

• Bachelor's or master's in computer science, Engineering, Data Science, or related fields.
• 5 years of experience in Data Engineering or related fields.
• Strong expertise with one or more major cloud platforms:
• AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS
• Azure: Synapse, ADLS, Data Factory, Databricks
• Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks).
• Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience with IaC (Terraform, CloudFormation, CDK).
• Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema).
• Familiarity with DevOps and CI/CD for data engineering.
• Strong problem‑solving skills and ability to work in a fast‑paced environment.

Workplace type:
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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