Cloud Data Platform Engineer — Real-Time ETL & Analytics

Maveric Systems Limited; Denver (CO); On-site; USD 120,000 - 170,000; Full time

Job summary

Maveric Systems Limited is seeking a Data Platform Engineer to design, build, and optimize scalable data pipelines on AWS. You will implement batch and near real-time processing using Spark and develop data models for analytics and reporting.

The role focuses on ETL/ELT development, data governance, and ensuring data quality across multiple source systems, with collaboration across architects and application teams.

Qualifications

• Experience designing data platforms on AWS.
• Strong ETL/ELT implementation experience.
• Proficient in data modeling for analytics and reporting.

Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines on AWS.
• Implement batch and near real-time data processing using Spark.
• Build and optimize ETL/ELT pipelines from multiple sources.

Skills

Data pipelines

ETL/ELT development

Data modeling

Data quality

Data governance

Cloud architecture

Collaboration

Performance tuning

Tools

AWS Glue

Apache Spark

PostgreSQL

AWS S3

AWS Lambda

IAM

CloudWatch

Redshift

Job description

Maveric Systems Limited is seeking a Data Platform Engineer to design, build, and optimize scalable data pipelines on AWS. You will implement batch and near real-time processing using Spark and develop data models for analytics and reporting.

The role focuses on ETL/ELT development, data governance, and ensuring data quality across multiple source systems, with collaboration across architects and application teams.