| Graph and Time Series database specialist Onsite US C GC only at Plano, Texas, USA |
| Email: [email protected] |
| From: shaik, Convextech [email protected] Reply to: [email protected] Position Title Graph and Time Series database specialist Location Plano, TX (100% onsite) Expected Duration 6+ months contract with the possibility of extension or permanent Visa acceptance: US Citizen/GC Client name (To prevent the dual submission): DXC Submission Process: need video pre-screening and photo ID. LinkedIn Mandate JD Description: We are seeking a highly skilled and motivated Graph and Time Series Database Specialist to join our dynamic team. As a specialist in graph and time series databases, you will play a critical role in designing, implementing, optimizing, and maintaining our data storage solutions. Your expertise will help drive innovation, enhance data performance, and support our organization's data-driven decision-making processes. Key Responsibilities: Database Design and Implementation: Collaborate with cross-functional teams to understand data requirements and design appropriate graph and time series database schemas. Implement and configure graph and time series databases to meet specific application needs. Ensure data integrity, consistency, and security across databases. Query Optimization and Performance Tuning: Analyze and optimize query performance for graph traversal and time series data retrieval. Identify and resolve bottlenecks to improve overall database performance. Monitor and fine-tune database parameters to enhance system efficiency. Data Modeling: Develop and maintain data models for graph and time series data structures. Map complex relationships and hierarchies for efficient graph traversals. Define retention policies and storage strategies for time series data. Data Integration: Integrate graph and time series databases with existing systems and applications. Implement data pipelines for seamless data ingestion and synchronization. Work with ETL processes to ensure timely and accurate data updates. Security and Compliance: Implement security measures to protect sensitive data stored in the graph and time series databases. Ensure compliance with relevant data protection regulations and industry standards. Troubleshooting and Maintenance: Monitor database health and diagnose and resolve issues as they arise. Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Proven development experience with in Graph database technologies (e.g., Neo4j, Amazon Neptune), Time Series databases (e.g., Influx DB, Timescale DB, AWS Timestream), NOSQL (e.g., AWS DynamoDB, MongoDB) and In-memory (e.g., AWS Memory DB for Redis) Graph Query Languages like open Cypher, Gremlin or SPARQL. Proficiency in Python programming. Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc. Experience in Graph DB tuning techniques, eg: partitioning and sharing, create and use indexes, Query profiling, Configure the page cache, Configuration parameters and memory tuning, garbage collection, etc. Implement data ingestion pipelines to efficiently capture and store real-time and historical time series data from various sources. Design and develop time series database architectures that efficiently manage high-frequency, chronological data. Proficiency in database design, query optimization, and performance tuning. Strong understanding of data modeling principles for graph structures and time-based data. Familiarity with real-time data processing frameworks (e.g., Kafka, Apache Flink) is a plus. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration abilities. Ability to work independently and manage multiple tasks simultaneously. Preferred certifications: Neo4j Certified Professional, Influx Data Certified Professional, etc. Join our team and contribute your expertise in graph and time series databases to drive data-driven insights and innovation within our organization. Apply now to be a key player in shaping our data storage and retrieval strategies for the future. Keywords: database green card Idaho Texas |
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| Tue Oct 10 22:51:00 UTC 2023 |