Sr. Data Engineer

Job Title: Sr.Data Engineer (Mid-Senior Level) - AWS & StreamingExperience Level - 13-15+ YearsLocation: Fort Mill, SC (3 days hybrid)Role Summary: We are seeking a Mid-Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms.

Key Responsibilities: Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python

Build event-driven workflows using AWS Lambda

Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink

Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation

Optimize data processing performance, scalability, reliability, and cost in cloud environments

Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline Must have Skills: Strong hands-on experience with Python and PySpark

Proven expertise in AWS Glue, Lambda, and other cloud-native data services

Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns)

Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection)

Strong understanding of distributed data processing and scalable architecture patterns Good-to-Have Skills: Experience with Apache Flink for real-time stream processing and stateful computations

Knowledge of KSQL or other streaming SQL engines

Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices

Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi

Experience working in enterprise or financial data environments