Senior Data Engineer

hace 7 días

Mexicali, Baja California, México Trimble A tiempo completo

About the Role:

We are seeking an experienced Data Engineer to join our marketing business intelligence team and drive data-driven decision-making. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our marketing analytics and reporting.

Key Responsibilities:

  • Design and implement scalable data pipelines to collect, integrate, and transform marketing data from various sources into a centralized data repository.
  • Build and maintain a robust data warehouse/data lake solution to store and manage large volumes of structured and unstructured marketing data.
  • Develop and automate ETL (Extract, Transform, Load) processes to ensure data quality, reliability, and accessibility for marketing analytics and reporting.
  • Collaborate with marketing analysts and data scientists to understand their data requirements and provide them with clean, reliable, and accessible data for analysis and modeling.
  • Implement data governance policies, data security measures (access controls, encryption), and data quality checks to ensure data integrity and compliance with regulations.
  • Optimize data infrastructure performance, scalability, and cost-effectiveness to support the growing data needs of the marketing organization.
  • Stay up-to-date with the latest data engineering tools, technologies, and best practices, and continuously improve data processes and architectures.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of experience as a Data Engineer, with a strong background in building and maintaining data pipelines and data warehousing solutions.
  • Proficiency in programming languages such as Python, SQL, SnowSQL, and Scala.
  • Hands-on experience with data engineering tools and frameworks (e.g., Spark, Kafka, Apache Airflow, dbt).
  • Knowledge of cloud computing platforms (e.g., Snowflake, AWS, Azure, GCP) for data storage and processing.
  • Strong understanding of data modeling, database design principles, and data governance best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work collaboratively in a cross-functional team environment.
  • Experience in the B2B SaaS or marketing technology industry is a plus.

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