Job Title: Data EngineerOverviewWe 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 ResponsibilitiesDesign, develop, and maintain data pipelines and ETL/ELT processesIntegrate data from multiple sources into centralized data platformsEnsure data quality, integrity, and consistency across systemsBuild and optimize data models and data warehousing solutionsSupport analytics and reporting by delivering clean, curated datasetsCollaborate with cross-functional teams including data scientists, analysts, and software engineersMonitor and troubleshoot data workflows and pipeline performance* * *Required QualificationsStrong foundation in software engineering with proficiency in:SQL and PythonETL/ELT tools and frameworksExperience with database platforms:RDBMS: PostgreSQL, SQL Server, MySQL, OracleNoSQL: MongoDB,



Neo4jHands‐on experience building multi‐source data pipelines (e.g., Qlik, AWS Glue)Experience working with cloud platforms, preferably AWSSolid understanding of:Data warehousing conceptsData quality and data governance practices* * *Preferred QualificationsProgramming 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 developmentExperience with big data technologies (Hadoop, Spark)* * *Key SkillsData Integration & Pipeline DevelopmentCloud Data EngineeringData Quality & CurationProblem-solving and analytical thinkingCollaboration and communication* * *Work SetupTeam size: 3 Data EngineersSupport structure: 1 senior/lead resourceWillingness to work in a collaborative and fast‐paced environment
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📌 Data Engineer Advisor (Mérida)
🏢 Ntt Data
📍 Mérida