Data Engineer

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.

• *Job Locations:**

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road

Bangalore, Karnātaka 560076

India

Posting City: Bangalore

Job Country: India

Travel Required: None

Requisition ID: 154596

Workplace Type: Hybrid

External Careers Page: Logistics