Ingeniero De Datos Senior

Our client, a leading financial technology company located in Monterrey, Nuevo León , is seeking a highly skilled Senior Data Engineer . This role is crucial for designing, building, and maintaining robust and scalable data pipelines and infrastructure. You will work with large datasets, implement data warehousing solutions, and ensure data quality and availability for analytics and machine learning initiatives. The ideal candidate possesses deep expertise in data modeling, ETL processes, and distributed data processing systems. You will collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making across the organization. This hybrid role offers a unique opportunity to contribute significantly to a data-centric culture in one of Mexico's most important economic centers.

Our client, a leading financial technology company located in Monterrey, Nuevo León , is seeking a highly skilled Senior Data Engineer . This role is crucial for designing, building, and maintaining robust and scalable data pipelines and infrastructure. You will work with large datasets, implement data warehousing solutions, and ensure data quality and availability for analytics and machine learning initiatives. The ideal candidate possesses deep expertise in data modeling, ETL processes, and distributed data processing systems. You will collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making across the organization. This hybrid role offers a unique opportunity to contribute significantly to a data-centric culture in one of Mexico's most important economic centers.

• Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
• Develop and implement ETL/ELT processes to ingest, transform, and load data from various sources into data warehouses and data lakes.
• Build and optimize data models for analytical and reporting purposes.
• Ensure data quality, integrity, and reliability across all data systems.
• Collaborate with data scientists and analysts to understand their data needs and provide solutions.
• Implement data security and privacy best practices.
• Monitor and troubleshoot data pipeline performance, identifying and resolving issues proactively.
• Evaluate and recommend new data technologies and tools to improve efficiency and capabilities.
• Develop documentation for data architectures, pipelines, and processes.
• Contribute to the overall data strategy and architecture of the company.

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in data engineering or a similar role.
• Strong proficiency in SQL and experience with relational and NoSQL databases.
• Hands-on experience with big data technologies such as Spark, Hadoop, Hive, or similar.
• Expertise in at least one programming language commonly used for data engineering (e.g., Python, Scala, Java).
• Experience with cloud data platforms (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; GCP BigQuery, Cloud Storage).
• Familiarity with data warehousing concepts and dimensional modeling.
• Experience with ETL/ELT tools and techniques.
• Strong understanding of data governance, quality, and security principles.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills, comfortable working in a hybrid environment.
• Experience working with financial data is a plus.

We offer a competitive salary, performance bonuses, and a comprehensive benefits package including health insurance, retirement plan, and paid time off. The hybrid work model provides flexibility, allowing you to work from home and in our modern offices in Monterrey . Professional development opportunities, including training and conference attendance, are encouraged. You will be part of a cutting-edge company in a rapidly growing sector within Nuevo León , with significant opportunities for career advancement and impact.