Job Title: 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.
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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
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Required Qualifications Strong foundation in software engineering with proficiency in: SQL and Python
ETL/ELT tools and frameworks

Experience with database platforms: RDBMS: PostgreSQL, SQL Server, MySQL, Oracle
NoSQL: 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

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Preferred Qualifications Programming experience in Java or C++
Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Knowledge of DevOps practices and tools (GitHub Actions, Terraform)
Experience with containerization and deployment (Docker, Kubernetes)
Exposure to API development
Experience with big data technologies (Hadoop, Spark)
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Key Skills Data Integration & Pipeline Development
Cloud Data Engineering
Data Quality & Curation
Problem-solving and analytical thinking
Collaboration and communication
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Work Setup Team size: 3 Data Engineers
Support structure: 1 senior/lead resource
Willingness to work in a collaborative and fast‑paced environment

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📌 Data Engineer Advisor (Sinaloa)
🏢 Ntt Data
📍 Sinaloa