Senior Data Engineer

Data Engineering & Architecture

• 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
Data Modelling & Warehousing
• 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
Cloud & Platform Engineering
• 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 BigQuery / Dataflow
Ensure systems are secure, scalable, and cost-efficient Data Pipeline & Workflow Management
• 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
Data Quality & Governance
• Ensure data quality, integrity, and consistency
• Implement validation, testing, and monitoring frameworks
• Work with governance teams on data security, compliance, and policies
Collaboration & Leadership
• Partner with Data Scientists, Analysts, and Product teams
• Mentor junior data engineers and promote best practices
• Contribute to architectural decisions and strategic planning
  
  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., Technical Skills
• 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 (BigQuery, Dataflow)
Data Platform Expertise
• Experience with:
• Data warehousing solutions
• Streaming technologies (Kafka, Kinesis, Pub/Sub)
Familiarity with DevOps/DataOps practices
• CI/CD pipelines
• Infrastructure as Code (Terraform, ARM, CloudFormation)
  
  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 a part of NTT Group, which invests over $3 billion each year in R&D.