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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📌 Acceleration Center - Data Engineer - Manager (Centro)
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