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Sr. Data Engineer (Mid–Senior Level) – AWS & StreamingEOne Infotech • Fort Mill, South Carolina, United States
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Sr. Data Engineer (Mid–Senior Level) – AWS & Streaming

EOne Infotech
  • US
    Fort Mill, South Carolina, United States
  • US
    Fort Mill, South Carolina, United States
Jetzt Bewerben

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Full Time Fort Mill, SC (3 days hybrid) Posted 3 months ago
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Sr. Data Engineer (Mid–Senior Level) – AWS & Streaming
Full Time Fort Mill, SC (3 days hybrid) Posted 3 months ago
eone Infotech
Job Description :
Experience Level – 13-15+ Years
Job Description
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
Job Qualification :
Number of Positions : Multiple
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Sr. Data Engineer (Mid–Senior Level) – AWS & Streaming
Full Time Fort Mill, SC (3 days hybrid) Posted 3 months ago
eone Infotech
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
Job Qualification :
Number of Positions : Multiple
First Name
Last Name
Email
Contact Number
Current Location
Zip code
Relevant Experience
Total Experience
Key Skills
Upload Resume
Not readable? Change text.
Enter Captcha Code
IT Services
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Contact
515 Plainfield Av,
Suite 203 Edison, NJ08817
contact@eoneinfotech.com
908 864 5227
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  • Fort Mill, South Carolina, United States

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  • English
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