Sr. Graph Database Data Engineer

As an experienced Graph Database Data Engineer, you will be responsible for designing and building cutting-edge data solutions. Your role will involve designing, implementing, and maintaining graph database solutions. You will play a crucial role in building robust data pipelines, ensuring data quality, and optimizing query performance. It is essential to have a deep understanding of Graph Database Architecture, Data Structures, and Operations. You should also have expertise in graph query languages such as SPARQL and Gremlin, along with proven experience with AWS Neptune. Key Responsibilities: - Design, implement, and maintain graph database solutions. - Build robust data pipelines and ensure data quality. - Optimize query performance using modern cloud and containerization technologies. - Utilize graph query languages like SPARQL and Gremlin. - Work with AWS Neptune and demonstrate proficiency in Python for data engineering tasks. - Deploy and manage applications using EKS and Kubernetes (K8s). - Utilize AWS services including S3 and Lambda. - Implement Infrastructure as Code using Terraform. - Apply strong analytical and problem-solving skills to address challenges. - Collaborate effectively with team members and possess excellent communication skills. Qualifications Required: - 6-9 years of hands-on experience as a Data Engineer, with a significant focus on graph databases. - Deep understanding of Graph Database Architecture, Data Structures, and Operations. - Expertise in graph query languages: SPARQL and Gremlin. - Proven experience with AWS Neptune. - Strong proficiency in Python for data engineering tasks. - Hands-on experience with EKS and Kubernetes (K8s) for deploying and managing applications. - Familiarity with AWS services including S3 and Lambda. - Experience with Terraform for Infrastructure as Code. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities.,