TE Connectivity is a global technology and manufacturing leader dedicated to creating a safer, sustainable, productive, and connected future. The Senior Data Engineer will play a crucial role in building robust data pipelines and advanced analytics applications to support the company's strategic priorities and enhance business value across multiple geographic areas.
Responsibilities:
- Design and build robust data pipelines and feature stores that powers our AI products
- Analyse data requirements, understand complex data sources, and partner with architects to determine the best methods to extract, transform, and load data into data platform
- Lead conversations with business or functional teams to translate user requirements into reusable and cost-efficient data acquisition methodologies for AI products
- Be the key anchor for data extraction, preparation and hosting processes representing the AI team. Data expert for engineering datasets used by data scientists working on various use cases
- Perform functional and stress testing on data models and extraction jobs to ensure that design is optimized for performance, scale, and reusability
- Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning
- Ensure data quality throughout entire development process, including audits and feedback loops to sources of truth
- Create or update technical documentation for transition to support teams
- Mentor junior data engineers
Requirements:
- B.S. in Computer Science or Computer Engineering or related field
- 5+ years of experience building robust and production-grade data pipelines and data models
- Strong understanding of data modelling for AI products
- Hands-on experience working with large volumes of structured and unstructured data
- Strong proficiency in Python and SQL
- Experience working in a cloud environment, AWS preferred
- Proficiency with modern software development methodologies such as Agile, source control, CI/CD, project management and issue tracking with JIRA
- Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making
- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines
- Willing to flex daily work schedule to allow for time-zone differences for global team communications
- AWS Cloud and Databricks certifications are strongly preferred. Ability to obtain them after joining team is required
- Experience in working with data scientists building AI and GenAI products
- Strong communication skills with ability to communicate technical terms to business teams
- Ability to work independently in a fast-paced environment