Data Engineer

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Data Engineer – AWS & Cloud Data Platforms

We are looking for an experienced Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong experience building ETL/ELT pipelines, workflow orchestration, and supporting modern data platforms in a cloud environment.

Responsibilities:

• Design and develop scalable data pipelines for batch and near real-time data processing.
• Build and maintain ETL workflows for data ingestion, transformation, and integration.
• Develop and manage workflow orchestration processes for data movement and automation.
• Create and optimize complex SQL queries for data validation, reporting, and analytics.
• Support cloud-based data lakes and data warehouse environments.
• Implement monitoring, logging, and performance optimization for data pipelines.
• Collaborate with analytics, reporting, and business teams to ensure data quality and availability.
• Participate in CI/CD and deployment automation activities.
  
  

Required Qualifications:

• 6 years of Data Engineering experience.
• Strong experience with cloud data platforms (AWS preferred).
• Hands-on experience with ETL development using Python and/or Spark.
• Experience with workflow orchestration tools.
• Strong SQL skills and database performance tuning experience.
• Knowledge of data modeling, data lakes, and modern data architectures.
• Experience with monitoring, logging, and troubleshooting production data pipelines.
• Familiarity with source control and CI/CD processes.
  
  

Preferred Qualifications:

• Experience with Infrastructure as Code (IaC) tools.
• Exposure to modern data warehouse technologies.
• Knowledge of event-driven architectures and streaming concepts.
• Experience with data governance and metadata management.