Data Engineers Python Specialist
hace 1 mes
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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