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Role Summary
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.
Key Responsibilities
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
Required Skills & Experience
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)
Location & Work Options
* Remote or hybrid work options may be available, subject to client requirements.
Equal Opportunity Employer
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 (http://us.nttdata.com/en/compliance#eeos). If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights). For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp).
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