Data Engineer
hace 2 meses
GSPANN is seeking a seasoned Data Engineer to join our team in Mexico. As we continue to grow and expand our operations, we are looking for passionate and talented professionals to join our team.
Key Responsibilities- Analyze, design, develop, test, and maintain data pipelines and ETL-related systems.
- Participate in the design of data systems with the principal engineer and architect.
- Work with multiple sourcing teams to ingest data.
- Implement processes to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes.
- Select and implement the right technical tools and processes within the defined boundaries.
- Perform data analysis to troubleshoot data-related issues and assist in resolving data issues.
- Collaborate with Product Analysts and Visualization Engineers during solution implementation.
- Write documentation and tutorials, as well as provide guidance.
- Participate in the support process with the rest of the squad.
- Coach and mentor junior colleagues from the squad.
- Participate actively in the relative community of practice, helping shape GSPANN's engineering culture, standards, and best practices.
- Work with the 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 peers to ensure delivery and positive results.
- 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 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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