AWS Data Engineer

We are looking for AWS Data Engineer.
5+ years of experience in data solution, pipeline, mart and/or warehouse development and delivery using agile development methodology
Critical thinking skills to propose solutions, test, and make them a reality.
2+ years of experience in a Data Engineering Competency on a public cloud Google, MS Azure, AWS.
2+ years Integration and Configuration Scripting in Tekton and Terraform
3+ years of experience writing complex SQL
3+ years of experience writing data solutions in Python, Java, Scala or Go.
Deep understanding of data service ecosystems including data warehouses, lakes, metadata, meshes, fabrics and analytical use cases
User experience advocacy through empathetic stakeholder relationship
2+ years Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations
Cloud Console, BigQuery, Data Flow, Data Fusion, PubSub / Kafka, Looker Studio and VertexAI.
Design, Develop and Implement data engineering solutions using standards, templates, patterns and best practices in the Google Cloud Platform Full stack data engineering solutions utilizing both structured and unstructured data: development, ingestion, curation, implementation, deployment, automation and monitoring
Experience with Teradata, Hadoop, Hive, Spark and other on-premise/legacy data solutions.
Experience optimizing data solutions and data science/analytical workflows: re-coding/re-developing/re-factoring.
Excellent written and verbal communication skills are required.