What are the responsibilities and job description for the Tigergraph DB Developer position at Coretek Labs?
Role : Tigergraph DB Developer
Location : Austin, TX
We are seeking a highly motivated and skilled Data Engineer with a strong focus on graph databases to join our growing team. You will play a critical role in designing, developing, and maintaining our data infrastructure, with a particular emphasis on leveraging graph database technologies like Neo4j, TigerGraph, or ArangoDB. This role requires a deep understanding of data engineering principles, experience with big data processing frameworks like Spark, and a passion for building robust and scalable systems.
Responsibilities :
- Design and implement data pipelines to ingest, transform, and load data from various sources into our data lake and graph database.
- Develop and maintain ETL processes using Spark and PySpark.
- Design and implement the schema and data model for our graph database (Neo4j, TigerGraph, or ArangoDB).
- Write efficient and performant queries for data retrieval, analysis, and visualization within the graph database.
- Work with NoSQL databases to support various data storage and retrieval needs.
- Collaborate with data scientists and other stakeholders to understand their data requirements and translate them into effective data solutions.
- Monitor and optimize the performance and scalability of the data infrastructure, including the graph database and Spark clusters.
- Implement best practices for data governance, security, and quality.
- Work with staged environments (development, integration / testing, and production) to ensure smooth deployments.
- Contribute to the development of internal tools and libraries for working with data.
- Document data pipelines, data models, and other technical aspects of the data infrastructure.
- Stay up-to-date with the latest advancements in data engineering, big data technologies, and graph databases.
- Optional : If BOM domain is crucial] Apply knowledge of Bill of Materials (BOM) structures and data to design and optimize data pipelines and graph database models.
Qualifications :
skills.
