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

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• 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…

Skills

• Machine Learning
• SQL
• Apache Spark
• NLP
• Generative AI