Sr. Data Engineer AWS & Streaming - Full Time
Full Time
No Travel Required
Hybrid
Depends on Experience
Sabio infotech
Fitment
Dice Job Match Score™
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Job Details
Skills
- Data Engineer
- AWS
- Amazon Web Services
- Continuous Delivery
- Continuous Integration
- Data Engineering
- Data Lake
- Data Quality
- Extract
- Transform
- Load
- ELT
- DevOps
- Cloud Computing
- PySpark
- Python
- Apache Flink
- Data Integrity
- Streaming
Summary
Job Title: Sr. Data Engineer – AWS & Streaming
Location: Fort Mill SC/Charlotte, NC/New York, NY (2-3 Days Hybrid)
Position: Full-Time
Duration: 6+ Months to Long Term
Experience level – 10+ 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.
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91112738
- Position Id: 9089311
- Posted 30+ days ago
Company Info
Sabio staffing experts know tech. And we take a data-driven approach to find the best-fit candidates for your business but we don't stop there. Our high-tech, high-touch approach to staffing goes beyond the numbers, combining data-backed findings with keen human insight to find talent with the right skills and culture fit for your workplace.
Sabio Technical Staffing USA has offered contract staffing, contract-to-hire and direct hire solutions. As an engineering staffing agency and technical staffing agency, we’re the experts at placing engineering, engineering support and IT professionals with employers nationwide.
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