Remote Azure Data Engineer | Real-Time Data & Lakehouse

Turtle Trax S.A.; México; Remote; MXN 600,000 - 900,000; Full time

Job summary

Turtle Trax S.A. is seeking a Data Engineer to design, build, and maintain scalable cloud-native data pipelines and infrastructure that support analytics, reporting, business intelligence, and real-time data processing.

You will work with SQL, Python, PySpark on Azure Data Factory, Databricks, ADLS, Synapse, and Event Hubs, ensuring data quality, security, and collaboration with data scientists and business teams.

Qualifications

• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL.
• Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala.
• Hands-on experience with Azure Cloud technologies: Azure Data Factory (ADF), Azure Databricks, ADLS, Synapse Analytics, Event Hubs, Functions, API Management, and DevOps.
• Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables.
• Expertise in API development, API integration, RESTful services, and microservices architecture.
• Experience processing high-volume and high-frequency data with low-latency requirements.
• Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis.
• Experience with Spark, Hadoop, and distributed data processing frameworks.
• Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments.
• Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.
• Understanding of data governance, data security, and compliance best practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
• Build and optimize data models, Delta Tables, and Lakehouse architectures to support analytics and reporting.
• Develop and integrate RESTful APIs and data services to facilitate seamless data exchange across enterprise systems.
• Implement real-time and high-frequency data ingestion frameworks using streaming technologies and event-driven architectures.
• Design and manage cloud-native data solutions leveraging Azure services including Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics.
• Develop and optimize Databricks Spark applications for large-scale data transformation and processing.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with data scientists, analysts, application teams, and business stakeholders to deliver scalable data solutions.
• Troubleshoot, monitor, and optimize pipeline performance and data platform reliability.
• Support DataOps and CI/CD practices for data pipeline deployment and automation.

Skills

Python

SQL

PySpark

RESTful APIs

Kafka

Delta Lake

Delta Live Tables

CI/CD

API development

Spark

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure Synapse Analytics

Azure Event Hubs

Azure Functions

Azure API Management

Azure DevOps

OpenShift

Kubernetes

Docker

Apache Airflow

Job description

Turtle Trax S.A. is seeking a Data Engineer to design, build, and maintain scalable cloud-native data pipelines and infrastructure that support analytics, reporting, business intelligence, and real-time data processing.

You will work with SQL, Python, PySpark on Azure Data Factory, Databricks, ADLS, Synapse, and Event Hubs, ensuring data quality, security, and collaboration with data scientists and business teams.