6 Graphdbs Jobs

As a Data Engineering Lead at Ascentt, you will play a crucial role in overseeing and guiding the organization's data engineering function. Your deep technical expertise in big data and data engineering, combined with strong leadership skills, will drive innovation, best practices, and excellence across the data engineering teams. **Role Overview:** You will establish and evolve the strategic direction for the data engineering practice, define and implement best practices, lead the design of scalable data solutions, oversee multiple data engineering teams and projects, mentor and develop talent, and collaborate with other practice leads and senior leadership. **Key Responsibilities:** - Esta...

About Autonomize AI Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters improving lives. We're growing fast and looking for bold, driven teammates to join us. The Opportunity Senior Software Development Engineer is responsible for Architecting, Developing & Testing the Autonomize Health platform & applications including the UI, middleware, backend data pipelines, APIs, and cloud operations architecture. You're a Fit If You Have 5+ years of experience on having built web applications from scratch. Experience in designing/architecting scalable and ...

Job Title: Python Backend Developer Location: Hyderabad Employment Type: Full-time Job Summary We are seeking an experienced Python Backend Developer to design, develop, and maintain scalable backend services. The role involves building high-performance data pipelines, deploying applications on cloud infrastructure (AWS/EKS), integrating AI/Generative AI models, and working with GraphDB for advanced data querying and analytics. Key Responsibilities * Backend Development: Design, develop, and maintain Python-based backend services for real-time and batch data processing. * Cloud Infrastructure: Deploy and manage containerized applications on AWS ( primarily EKS ), ensuring scalability, high a...

Responsibilities: Create and optimize complex SPARQL Protocol and RDF Query Language queries to retrieve and analyze data from graph databases Develop graph-based applications and models to solve real-world problems and extract valuable insights from data. Design, develop, and maintain scalable data pipelines using Python rest apis get data from different cloud platforms Create and optimize complex SPARQL queries to retrieve and analyze data from graph databases. Study and understand the nodes, edges, and properties in graphs, to represent and store data in relational databases. Mandatory Skills- Python, RDF, Neo4J, GraphDB, Version Control System, API Frameworks Qualifications: Strong profi...

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Adva...

What you’ll doAs a Data Engineer – Data Platform Services, you will be responsible for: Data Migration & Modernization Leading the migration of ETL workflows from IBM DataStage to PySpark, ensuring performance optimization and cost efficiency. Designing and implementing data ingestion frameworks using Kafka and PySpark, replacing legacy ETL Pipeline using DataStage. Migrating the analytical platform from IBM Integrated Analytics System (IIAS) to Cloudera Data Lake on CDP. Data Engineering & Pipeline Development Developing and maintaining scalable, fault-tolerant, and optimized data pipelines on Cloudera Data Platform. Implementing data transformations, enrichment, and quality checks to ensur...