Job Summary:We are seeking a Cloud Data Engineer to design, build, and manage scalable cloud-based data ingestion, transformation, and storage pipelines. This role involves working with modern cloud services across Azure and AWS to support enterprise-grade data integration and analytics, particularly involving Oracle databases and distributed data platforms.
Job Responsibilities:Design, build, and manage cloud-based ETL/ELT workflows and data pipelines
Develop data ingestion, transformation, and storage processes using tools such as:- Azure Data Factory
- Azure Synapse Analytics
- AWS Glue
- AWS Lambda
- Amazon S3
- Support seamless data integration between on-premise Oracle databases and cloud services
- Collaborate with data analysts, engineers, and business stakeholders to ensure data accuracy, consistency, and accessibility
- Monitor, troubleshoot, and optimize data workflows and cloud-based services
- Implement data security, governance, and best practices across platforms
- Ensure performance, scalability, and cost-efficiency of cloud data solutions
Required Skills:- Hands-on experience with Azure Data Factory, Azure Synapse Analytics
- Proficiency with AWS Glue, Lambda, and Amazon S3
- Strong understanding of ETL/ELT processes and cloud-native data architectures
- Experience integrating Oracle databases with cloud-based systems
- Solid knowledge of SQL and scripting for data transformation
- Understanding of data governance, security, and monitoring in cloud environments
- Strong problem-solving, debugging, and communication skills
Preferred Skills:- Experience with hybrid cloud architectures
- Familiarity with data modeling and warehousing principles
- Knowledge of DevOps practices in data engineering (CI/CD pipelines)
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Education:Bachelor's degree in computer science, Information Systems, Data Engineering, or related field
