Graph and Time Series Database Specialist

Title: Graph and Time Series Database Specialist Location: Plano, Texas (Onsite Role) Need Local Candidates Only Position Overview: 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: 1. 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. 2. 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. 3. 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. 4. 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. 5. 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: • Bachelor's 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., InfluxDB, TimescaleDB, AWS Timestream), NOSQL (eg., AWS DynamoDB, MongoDB) and In-memory(eg., AWS MemoryDB for Redis) • Graph Query Languages like openCypher, Gremlim or SPARQL. • Proficiency in Python programming. • Solid knowledge of graph database concepts, including graph data modeling, traversal algorithms, etc. • Exeprience in GraphDB tuning techniques, eg: partitioning and sharding, 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, InfluxData Certified Professional, etc.