Description

You will design and implement scalable, secure, and resilient data architectures on AWS to enable actionable insights.

Responsibilities

• Design, develop, and deploy scalable, real-time AWS-based data solutions aligned with business objectives.
• Architect and maintain secure data lake and warehouse solutions utilizing AWS services.
• Build efficient ETL/ELT workflows supporting diverse, complex data sources for analytics.
• Lead the creation and optimization of event-driven, streaming data pipelines for advanced analytics.
• Implement automation and DevOps best practices within data engineering pipelines.

Required Skills

• 5+ years of experience in data engineering.
• Expertise with AWS ecosystem including S3, Lambda, Kinesis, Redshift, Glue.
• Proficiency in Python for data manipulation and pipeline development.
• Hands-on experience with CI/CD Pipelines and infrastructure-as-code tools like CloudFormation or Terraform.
• Strong skills in designing ETL/ELT pipelines for batch and real-time ingestion.
• Experience building enterprise-level data engineering solutions on AWS.
• Familiarity with distributed data frameworks and streaming technologies.
• Any Graduate degree or higher in a related field.

Key Skills

Education

Any Graduate