Job Title: Sr.Data Engineer AWS & Streaming
Location: Fort Mill SC or New York, NY (2-3 Days Hybrid)
Experience level 10- 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:
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
For applications and inquiries, contact:hirings@openkyber.com
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