Infosys is seeking a Graph Data Platform Engineer (Tiger Graph/Neo4j) with experience in platform engineering and administration preferred. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design.
Required Qualifications:
Experience with Information TechnologyExperience building and supporting E2E Graph Date platform using Streaming, Batch and Big Data platformExperience with Graph-based data ingestion and processing workflows and working with Graph Analytics to support batch and Real Time analyticsExtensive hands on experience in designing developing and maintaining software frameworks using Tiger Graph DB, Neo4J, Kafka, Spark for large volumes of data (TBs)Extensive hands on supporting platforms to allow modelling and analysts go through the complete model lifecycle management (data munging, model develop/train, governance, deployment)Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Perl, and JavaScriptHands on experience working in a Cloud Platform (AWS/Azure/GCP) to support the Data ScienceGood expertise in impact analysis due to changes or issues.
Preferred Qualifications:
Experience in software development life cycleAt least 3 years of experience in Project life cycle activities on development and maintenance projectsDesign and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark, YARN and native graph technologiesGood Knowledge of metadata management, data lineage and principles of data governanceExperience designing and building full stack solutions utilizing distributed computing or multi-node architecture for large datasets (terabytes to petabyte scale)Experience with processing and deployment technologies such as YARN, Kubernetes/Containers and Serverless compute for model development and trainingGood understanding of Data integration, Data Quality and data architectureExperience to Big data technologies is preferred.Experience in Integrating Big Data tools and frameworks to support business use casesExperience in design and administering graphDB, neo4j and Tiger graph platformExperience in preparing test scripts and test cases to validate data and maintaining data qualityExperience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshootingHands-on development, with a willingness to troubleshoot and solve complex problemsCI/CD exposureAbility to work in team in diverse/multiple stakeholder environmentAbility to communicate complex technology solutions to diverse teams namely, technical, business and management teams
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. To learn more about Infosys and see our ideas in action please visit us at
