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TigerGraph DB Developer

This role is for a TigerGraph DB Developer in Austin, TX, with a contract length of "unknown". Pay rate is "unknown". Requires 5+ years in data engineering, 3-5 years with graph databases, Spark, and NoSQL. On-site work required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 15, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Austin, TX
🧠 - Skills detailed
#Big Data #Neo4J #Visualization #Schema Design #NoSQL #Spark (Apache Spark) #Data Processing #Data Lake #Data Engineering #ArangoDB #TigerGraph #Scala #Storage #PySpark #Graph Databases #Data Storage #Data Modeling #Data Science #"ETL (Extract #Transform #Load)" #Databases #Data Pipeline
Role description
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Greetings !

Position: TigerGraph DB Developer

Location: Austin, TX

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.

Qualifications:
• 5+ years of professional experience in data engineering.
• 3-5 years of hands-on experience with Graph Databases (Neo4j, TigerGraph, or ArangoDB).
• 3-5 years of hands-on experience with Spark.
• 2-5 years of experience with NoSQL databases.
• 1+ years of experience with PySpark.
• 1+ years of experience with Data Science concepts and practices.
• Strong understanding of data engineering principles and best practices.
• Proficiency in at least one of the following query languages: Cypher (Neo4j), GSQL (TigerGraph), or AQL (ArangoDB).
• Experience with data modeling and schema design, especially for graph databases.
• Experience with ETL processes and tools.

Thanks,

Tech Mahindra

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.”