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EOne Infotech Linkedin · Posted 2mo ago

Sr. Data Engineer (Mid–Senior Level) – AWS & Streaming

Fort Mill

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Sr. Data Engineer (Mid–Senior Level) – AWS & Streaming

  • Full Time
  • Fort Mill, SC (3 days hybrid)
  • Posted 6 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 6 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

  • JD Edwards
  • Oracle Cloud
  • AI Solutions
  • NetSuite
  • Salesforce Implementation
  • Blockchain
  • Traksys
  • Microsoft Dynamics 365 Services
  • Power BI

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Contact

515 Plainfield Av,

Suite 203 Edison, NJ08817

[email protected]

908 864 5227

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