our companys data & AI Division is looking for a data Engineer to join a leading project! We are looking for a talented data Engineer with a passion for building modern cloud-based data platforms. In this role, you will design and develop scalable data pipelines, build and optimize data warehouse solutions, and ensure the delivery of high-quality, reliable data for analytics and business intelligence. You will work closely with BI developers and business stakeholders to transform complex data into trusted, analytics-ready assets while leveraging modern AWS technologies and AI-powered development tools. Key Responsibilities
* Design and build data warehouse tables and data models, including source-to-target (S2T) mappings based on a layered architecture.
* Develop ETL /ELT processes to extract, transform, cleanse, and migrate data from Oracle source systems into Amazon Redshift.
* Build and maintain automated data pipelines for scheduled data ingestion, validation, reconciliation, and ongoing refresh processes.
* Analyze and re-implement existing procedures and business logic, including complex calculations, as part of cloud migration initiatives.
* Develop outbound data interfaces to support integrations with external systems and public data platforms.
* Implement automated data quality and reconciliation processes while optimizing pipeline performance and cost efficiency.
* Leverage AI tools to accelerate SQL development, technical documentation, and data pipeline implementation.
* Design and build data warehouse tables and data models, including source-to-target (S2T) mappings based on a layered architecture.
* Develop ETL /ELT processes to extract, transform, cleanse, and migrate data from Oracle source systems into Amazon Redshift.
* Build and maintain automated data pipelines for scheduled data ingestion, validation, reconciliation, and ongoing refresh processes.
* Analyze and re-implement existing procedures and business logic, including complex calculations, as part of cloud migration initiatives.
* Develop outbound data interfaces to support integrations with external systems and public data platforms.
* Implement automated data quality and reconciliation processes while optimizing pipeline performance and cost efficiency.
* Leverage AI tools to accelerate SQL development, technical documentation, and data pipeline implementation.
Requirements:
* 3+ years of experience in data Engineering.
* Hands-on experience with AWS data services, including Amazon Redshift and AWS Glue.
* Strong SQL skills with proven experience designing, developing, and maintaining ETL /ELT pipelines.
* Experience in data modeling and data Warehouse design, including layered architectures and source-to-target (S2T) mapping.
* Proficiency in using AI tools to support software development and technical documentation.
* 3+ years of experience in data Engineering.
* Hands-on experience with AWS data services, including Amazon Redshift and AWS Glue.
* Strong SQL skills with proven experience designing, developing, and maintaining ETL /ELT pipelines.
* Experience in data modeling and data Warehouse design, including layered architectures and source-to-target (S2T) mapping.
* Proficiency in using AI tools to support software development and technical documentation.
This position is open to all candidates.
