Data Engineer

hace 2 semanas

Ciudad de México Xideral A tiempo completo

**Data Engineer**:
As a **Data Engineer**, you will implement data quality controls, design and manage data architectures and automate workflows. Your proficiency in **Python**, **PySpark**, and **Azure cloud platforms** (especially **Databricks**and **Delta Live Tables**) will be crucial for **building and maintaining robust data pipelines**. You'll also be responsible for **data quality checks, data modeling, CI/CD implementation, and monitoring, all while adhering to Agile principles**. Your proactive, team-oriented approach, along with strong communication skills, will contribute to your success in this fully **remote role**, a contract for an **indefinite time**, with **benefits statutory and beyond.**

**Functions**:

- Implementing **data quality controls**:

- Design and **management of data architectures**:

- **Workflow**automation and orchestration
- Collaborative work and use of **agile methodologies**

**Requirements**:

- English **Conversational Advanced (C1-C2)**:

- Have a minimum of **3 years of experience** as a Data Engineer
- Programming Languages: Proficient in **Python**and **PySpark**with a strong understanding software engineering best practices
- Cloud Computing: Utilize **Azure cloud-based data platforms** specifically leveraging **Databricks and Delta Live Tables** for data engineering tasks while effectively utilizing services related to storage compute and security.
- **Data Pipelines**: Design build and maintain robust and scalable and automated data pipelines for batch and streaming data ingestion of data and processing.
- Data Quality: Implement data **quality checks and balances throughout** the data pipeline including profiling validation and root cause analysis to ensure data accuracy completeness and consistency.
- Data Architecture and Modeling**:Design and implement robust data models and architectures** that align with business requirements and support efficient data processing analysis and reporting.
- Orchestration**:Utilize workflow orchestration tools** to automate data pipeline execution and dependency management.
- CI/CD**:Implement continuous integration and continuous delivery (CI/CD) practices** for automated testing and deployment of data pipelines.
- Monitoring and Alerting: Integrate monitoring and alerting mechanisms to track pipeline health **identify performance bottlenecks and proactively address issues**.
- Strong Agile principles: Utilize **Agile development methodologies** actively participating in sprint planning daily stand-ups sprint reviews and retrospectives. **Be flexible and adaptable to changing requirements**and priorities throughout the project lifecycle.

**Soft skills**:

- Responsible, organization and planning
- Proactive and teamwork
- Empathetic and Commitment

**Labor Sector: IT**:
**Languages: English Conversational (C1-C2)**:
**Modality: Remote**:
**Work schedule Monday to Friday**9am** to**6pm**:
**Benefits Company benefits (statutory and beyond)**:

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