GSPANN seeks seasoned Data Engineers to join our team in Mexico. As we march ahead on a tremendous growth trajectory, we seek passionate and talented professionals to join our growing family.
Who We AreGSPANN has been in business for over a decade, with over 2000 employees worldwide, and servicing some of the largest retail, high technology, and manufacturing clients in North America. We provide an environment that enables career growth while still interacting with company leadership.
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 boundary defined by the client.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 Nike'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 your 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 ExperienceA 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 solutions3+ 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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