Sr.Data Engineer– AWS & Streaming(Visa Independent only)

Job Title: Sr.Data Engineer– AWS & Streaming
Location: Fort Mill SC or New York, NY (2-3 Days Hybrid)

Experience level – 12- 15 Years
 

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

Required 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