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.