JOB DESCRIPTION:

Data Cloud Engineer (AWS) to help design, develop, and optimize cloud-based data platforms and solutions. The ideal candidate will have strong expertise in AWS data services, data pipelines, and large-scale data processing within cloud environments.

SKILLS & EXPERIENCE REQUIRED:

• 8+ years of experience in cloud-based data engineering
• Strong expertise in AWS services: Glue, Redshift, S3, Lambda, DMS, Athena, EMR, Step Functions
• Proficient in building ETL/ELT pipelines and integrating diverse data sources
• Strong SQL, Python, or PySpark skills
• Understanding of data lake architecture, data warehouse design, and big data processing
• Familiarity with infrastructure-as-code (Terraform, CloudFormation, or AWS CDK)
• Knowledge of data governance, lineage, and security best practices

• Design and implement scalable data lake, data warehouse, and analytics solutions on AWS
• Build and maintain data pipelines using AWS Glue, Lambda, Redshift, S3, Athena, EMR, Step Functions
• Develop batch and real-time data processing solutions
• Collaborate with data architects, engineers, and analytics teams to deliver high-quality data products
• Monitor data pipelines and cloud services for performance, availability, and scalability
• Apply best practices in data security, governance, and cost optimization
• Document technical solutions and data flow designs
• Support CI/CD pipelines for data engineering workflows
• Participate in Agile delivery processes and contribute to team improvement