Data Engineer Advisor at NTT DATA, Inc. Mexico
Summary
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Data Engineer
Overview: We are seeking a Data Engineer responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. This role focuses on enabling reliable data integration, ensuring high data quality, and supporting advanced analytics across the organization.
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL/ELT processes
- Integrate data from multiple sources into centralized data platforms
- Ensure data quality, integrity, and consistency across systems
- Build and optimize data models and data warehousing solutions
- Support analytics and reporting by delivering clean, curated datasets
- Collaborate with cross-functional teams including data scientists, analysts, and software engineers
- Monitor and troubleshoot data workflows and pipeline performance
Required Qualifications
- Strong foundation in software engineering with proficiency in SQL and Python
- Experience with ETL/ELT tools and frameworks
- Experience with database platforms such as PostgreSQL, SQL Server, MySQL, Oracle, MongoDB, Neo4j
- Hands‑on experience building multi‑source data pipelines (e.g., Qlik, AWS Glue)
- Experience working with cloud platforms, preferably AWS
- Solid understanding of data warehousing concepts, data quality, and data governance practices
Preferred Qualifications
- Programming experience in Java or C++
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn
- Knowledge of DevOps practices and tools like GitHub Actions and Terraform
- Experience with containerization and deployment using Docker and Kubernetes
- Exposure to API development
- Experience with big data technologies such as Hadoop and Spark
Key Skills
- Data Integration & Pipeline Development
- Cloud Data Engineering
- Data Quality & Curation
- Problem‑solving and analytical thinking
- Collaboration and communication
Work Setup
Team size: 3 Data Engineers. Support structure: 1 senior/lead resource. Willingness to work in a collaborative and fast‑paced environment.