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Data Engineer Azure

Tlalpan, Ciudad de México💼 Full-time🗓 2026-08-21 → 2026-09-07

Core

Designing and implementing scalable data integration and transformation pipelines using Azure cloud services.

Role type

Senior Data Engineer (Azure)

Builds

ETL/ELT pipelines, data lakes, and data warehouse solutions for telecom clients

Domain

Cloud Data Engineering / Telecommunications

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Azure Data Factory, Azure Databricks, Python, SQL, Apache Spark, PostgreSQL, Data Modeling, ETL/ELT, Data Governance

Preferred skills

Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Power BI, Apache Airflow, Snowflake, MongoDB, Azure DevOps, Terraform, Docker, Kubernetes

Technologies

Azure Data Factory, Azure Databricks, Apache Spark, PostgreSQL, Delta Lake, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Power BI, Apache Airflow, Snowflake, MongoDB, Azure DevOps, Terraform, Docker, Kubernetes

Responsibilities

Design and develop complex data integration and transformation pipelines; Implement ETL/ELT processes to consolidate data from multiple sources; Automate data loads and processing flows; Ensure data quality, integrity, and traceability; Develop scalable solutions for processing large volumes of data; Monitor and optimize pipeline execution times and resource consumption; Manage integrations between cloud platforms and on-premise environments; Build data transformation and enrichment processes using Databricks notebooks; Design and optimize complex SQL queries and relational database structures; Participate in data governance initiatives and maintain technical documentation; Collaborate with business users to translate requirements into scalable technical solutions.

Seniority

Senior, hands-on IC

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