Cloud Engineer

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.

Key Responsibilities:

. 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

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