Data Engineer Advisor at NTT DATA, Inc. Mexico

Neier Inc.; Mexico; On-site; PHP 2,460,024 - 4,305,043; Full time

Job summary

Neier Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions in Pampanga, Philippines. This role focuses on ensuring data integrity, supporting analytics across the organization, and collaborating with data scientists and software engineers.

Ideal candidates will have strong skills in SQL and Python, with experience in cloud platforms, data warehousing, and collaboration in fast-paced environments. Join us to elevate data solutions.

Qualifications

• Strong foundation in software engineering with proficiency in SQL and Python.
• Experience with ETL/ELT tools and frameworks.
• Hands-on experience building multi-source data pipelines.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes.
• Ensure data quality, integrity, and consistency across systems.
• Collaborate with cross-functional teams including data scientists and analysts.

Skills

Data Integration & Pipeline Development

Cloud Data Engineering

Data Quality & Curation

Problem‑solving and analytical thinking

Collaboration and communication

Tools

PostgreSQL

SQL Server

MySQL

Oracle

MongoDB

Neo4j

Qlik

AWS Glue

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

GitHub Actions

Terraform

Hadoop

Spark

Job description

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.