Our client, a leading data analytics firm focused on leveraging big data to drive business insights, is seeking an experienced Ingeniero de Datos (Data Engineer) to join their team in Guadalajara. This hybrid role combines on-site collaboration with remote flexibility, allowing you to contribute to building and optimizing robust data pipelines and infrastructure. The idóneo candidate will have a strong background in data warehousing, ETL processes, and working with large-scale datasets. You will be responsible for designing, implementing, and maintaining data solutions that enable data scientists and analysts to derive meaningful insights. This position requires a proactive approach to problem-solving, a passion for data quality, and a solid understanding of cloud data platforms. If you are skilled in transforming raw data into actionable intelligence and thrive in a collaborative, data-driven environment, we encourage you to apply.

Key Responsibilities

- Design, build, and maintain scalable and reliable data pipelines for data ingestion, transformation, and loading (ETL/ELT).
- Develop and optimize data warehouses and data lakes using cloud-based technologies (e.g., AWS, Azure, GCP).
- Ensure data quality, integrity, and consistency across all data systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Implement data governance and security best practices.
- Automate data processes and monitor pipeline performance, identifying and resolving issues proactively.
- Develop and maintain data models to support reporting and analytical needs.
- Explore and evaluate new data technologies and tools to improve data infrastructure.




- Write efficient and optimized SQL queries and scripts.
- Contribute to the overall data strategy and architecture of the organization.

Requirements

- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in data engineering or a similar role.
- Proficiency in programming languages commonly used in data engineering, such as Python or Scala.
- Strong experience with SQL and relational database systems (e.g., PostgreSQL, MySQL).
- Hands-on experience with cloud data platforms (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; Google BigQuery, Cloud Storage).
- Experience with big data technologies such as Spark, Hadoop, Kafka.
- Familiarity with ETL/ELT tools and methodologies.
- Understanding of data warehousing concepts and best practices.
- Experience with data modeling techniques.
- Ability to work effectively in a hybrid environment, balancing on-site collaboration with remote tasks.
- Strong analytical and problem-solving skills.

Benefits

Join a dynamic and growing data analytics company in the vibrant tech hub of Guadalajara. This hybrid role offers a competitive salary, comprehensive benefits package, and opportunities for professional development in the rapidly evolving field of data science. Enjoy the flexibility of a hybrid work model, combining collaborative on-site work with the convenience of remote flexibility. You will have the chance to work with cutting-edge data technologies and contribute to impactful projects. Our client provides a supportive team environment and a culture that values innovation and continuous learning. Be at the forefront of data-driven decision-making.

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