Data Engineers Python Specialist

hace 1 mes


Monterrey, Nuevo León, México GSPANN A tiempo completo

          Data Engineer Role and Responsibilities


     At GSPANN, we are seeking a seasoned Data Engineer to join our team in Mexico. As we continue on our growth trajectory, we seek passionate and talented professionals to collaborate with us.


          Key Responsibilities



  •      Analyze, code, test, build, release, and maintain data pipelines or ETL-related systems.
  •      Participate in the design of the above-mentioned system with the principal engineer and Architect.
  •      Work with multiple sourcing teams when it comes to data ingest.
  •      Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  •      Select and implement the right technical tools and processes within the defined boundaries.
  •      Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
  •      Collaborate with Product Analysts and Visualization Engineers during solution implementation.
  •      Write documentation and tutorials, as well as provide guidance.
  •      Be part of the support process with the rest of the squad.
  •      Coach and mentor more junior colleagues from the squad.
  •      Participate actively in the relative community of practice, helping shape GSPANN's engineering culture, standards, and best practices, advocating for engineering excellence and innovation.
  •      Work with product owner and scrum master to understand requirements.
  •      Collaborate with the Lead Engineer to understand requirements, define scope, and estimate the level of effort.
  •      Ensure that peers in the team have the full context and understanding of requirements and create valuable solutions.
  •      Establish trust and build strong and effective partnerships with technical leaders and architects in various functions across regions/global locations.
  •      Partner effectively with your peers to ensure delivery and positive results.

          Skills and Experience



  •      A degree in Computer Science, Information Systems, or other relevant subject area related to information technology.
  •      3+ years of hands-on experience in technical architecture, design, development, and testing of data warehouse and big data solutions.
  •      3+ years of experience in implementing, testing, deploying, and troubleshooting data pipelines using any of these: PySpark, Apache Spark, Databricks, and Data Lake in cloud environments such as AWS or Microsoft Azure.
  •      3+ years of experience in a complex matrix organization within a global IT environment, having a diverse and complex landscape.
  •      3+ years of experience in developing CI/CD pipelines using Git, Terraform, and Jenkins.
  •      Prior experience working on multiple projects using Agile Methodologies (SAFE).
  •      Hands-on with applying pattern-based architecture, governance, security, and global process standards to system changes and deployments.
  •      Expertise in practicing DevOps principles for observability, reliability, and scalability.
  •      Diverse experience in databases, designs, constructs, and utilities.
  •      Comfortable working in a multi-tasking, fast-paced, results-oriented environment.
  •      Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical IT teams across global locations.
  •      Passion for building trust, coaching, teaching, mentoring, and learning.


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