At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
We are seeking a highly skilled Data, AI & Amazon Connect Engineer with 3+ years of experience in data engineering, cloud analytics, AI/ML, and customer decision intelligence. The ideal candidate will integrate multiple enterprise data tables and sources into Amazon Connect decisioning workflows, design scalable Databricks-based data pipelines, and deliver actionable insights from the system to improve customer experience, operations, and business performance.
Job Requirements
- Design and implement Amazon Connect flows, routing logic, customer journey orchestration, and decision frameworks using customer, transaction, and operational data.
- Connect multiple data tables and sources such as SAP, CRM, ERP, SQL databases, APIs, event streams, and cloud storage into decision workflows.
- Build scalable ETL/ELT pipelines using Databricks, PySpark, Spark SQL, Delta Lake, and Databricks Workflows for batch and near real-time use cases.
- Develop predictive analytics, segmentation, next-best-action, recommendation, NLP, and GenAI-based insight solutions to support business decisions.
- Use AWS services such as Lambda, S3, Glue, Redshift, Kinesis, SageMaker, Athena, Step Functions, IAM, and CloudWatch for secure and scalable architecture.
- Create dashboards, executive reports, and operational insights using Power BI, Amazon QuickSight, or Tableau; translate data outputs into business recommendations.
What Your Background Should Look Like
- Minimum 3+ years of professional experience in data engineering, analytics, AI/ML, or cloud data platform engineering.
- Hands-on experience integrating enterprise data tables and source systems into customer engagement or decisioning platforms.
- Strong experience with Amazon Connect implementation, integrations, flows, and customer interaction analytics.
- Strong hands-on experience with Databricks, Delta Lake, PySpark, SQL, and lakehouse data architecture.
- Experience building AI/ML or advanced analytics solutions that generate actionable business insights.
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
About Te Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
