Data Science Engineer

hace 3 semanas

San José, Costa Rica Cornerstone Building Brands A tiempo completo

**Our commitment to Diversity, Equality and Inclusion**:
Cornerstone Building Brands is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized, providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members.

**Descripción del empleo**:
**Responsibilities**

The Data Engineer will hold a pivotal role within our Automation team, dedicated to the meticulous management of data collection, integration, and data pipeline construction. This position is essential for ensuring data accuracy, reliability, and availability for analytical, classification and data interoperability.

**Essential Duties**
- ** Data Collection and Integration**: Collaborate closely with system administrators and data source owners to establish efficient processes for collecting, aggregating, and integrating data from various sources and systems.
- ** Data Preparation and Cleaning**: Implement data cleaning and transformation techniques to ensure data accuracy, consistency, and completeness. Address data anomalies, inconsistencies, and duplications as part of the data preparation process.
- ** Data Pipeline Construction**: Design, develop, and maintain data pipelines to automate the movement and transformation of data. Ensure data flows smoothly from source to destination, adhering to best practices for data pipeline construction.
- ** Data Quality Assurance**: Establish and enforce data quality standards and procedures. Continuously monitor data quality and proactively identify and rectify data quality issues.
- ** Scalability and Performance**: Optimize data processing pipelines and infrastructure for scalability and performance. Ensure that data operations can handle increasing volumes of data efficiently.
- ** Collaboration with Data Scientists and ML Engineers (3rd parties)**: Work closely with internal data scientists and external machine learning engineers to provide them with clean, well-structured data for model development and tuning.
- ** Security and Compliance**: Implement security measures and data governance practices to safeguard sensitive data. Ensure compliance with data privacy regulations and company policies.
- ** Monitoring and Troubleshooting**: Implement monitoring and alerting mechanisms to proactively identify and resolve data pipeline issues. Troubleshoot and resolve data-related incidents in a timely manner.
- This Data Engineer role is essential for ensuring the reliability and accuracy of our data assets, enabling data-driven decision-making across the organization. If you are passionate about data quality and transformation and are excited to contribute to our efforts, we encourage you to apply._

**Calificaciones**:
**Qualifications**
- Bachelor's degree in computer science, data engineering, or a related technical field.
- 3+ years of experience in data engineering, data cleansing, and data transformation.
- Proficiency in SQL and data manipulation tools (e.g., Python, R, Spark).
- Strong understanding of data quality principles and data cleansing techniques.
- Experience with ETL (Extract, Transform, Load) processes and tools.
- Knowledge of data warehousing concepts and data modeling.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to collaborate effectively with cross-functional teams.
- Self-motivated and capable of working independently to meet project deadlines.

**Core Competencies**
- Exceptional communication skills, both written and verbal, to convey complex technical concepts to non-technical stakeholders.
- Strong analytical and problem-solving abilities to identify data quality issues and develop effective solutions.
- Demonstrated ability to work collaboratively in a team environment and make informed decisions.
- Enthusiasm for staying current with industry trends and emerging technologies in data engineering.
- A proactive and results-driven attitude, with a focus on delivering high-quality data solutions.

**Información adicional**:
**Why work for Cornerstone Building Brands?**

Our teams are at the heart of our purpose to positively contribute to the communities where we** live, work and play**. Full-time* team members receive** medical, dental and vision benefits starting day 1. Other benefits include PTO, paid holidays, FSA, life insurance, LTD, STD, 401k, EAP, discount programs, tuition reimbursement, training, and professional development. You can also join one of our Employee Resource Groups which help support our commitment to providing a diverse and inclusive work environment.

*Full-time is defined as regularly working 30+ hours per week. **Union programs may vary depending on the collective bargaining agreement.

All your information will be kept confidential according to EEO guidelines.

**Ubicación del empleo**:
Cornerstone Building Brands is the largest manufacturer of exterior building products in North Americ

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