Senior Data Engineer (Graph DB specialist)

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be joining a dynamic team at Mindcurv as a highly skilled Data Engineer with expertise in graph databases. Your role will involve designing, implementing, and maintaining ETL pipelines for graph-based structures, developing and optimizing graph database solutions, building and maintaining ontologies and knowledge graphs, integrating vector databases, collaborating with data scientists, ensuring data quality and security, and effectively communicating with stakeholders. Key Responsibilities: - Design, implement, and maintain ETL pipelines to prepare data for graph-based structures. - Develop and optimize graph database solutions using querying languages such as Cypher, SPARQL, or GQL. Neo4J DB experience is preferred. - Build and maintain ontologies and knowledge graphs, ensuring efficient and scalable data modeling. - Integrate vector databases and implement similarity search techniques, focusing on Retrieval-Augmented Generation (RAG) methodologies and GraphRAG. - Collaborate with data scientists and engineers to operationalize machine learning models and integrate with graph databases. - Work with Large Language Models (LLMs) to achieve functional and business objectives. - Ensure data quality, integrity, and security while delivering robust and scalable solutions. - Communicate effectively with stakeholders to understand business requirements and deliver solutions that meet objectives. Qualifications Required: - At least 5 years of hands-on experience in data engineering, with 2 years of experience working with Graph DB. - Proficiency in Python and PySpark programming. - Advanced knowledge of Cypher, SPARQL, or GQL querying languages. - Expertise in designing and optimizing ETL processes for graph structures. - Strong skills in creating ontologies and knowledge graphs. - Understanding of similarity search techniques and RAG implementations. - Experience working with Large Language Models for functional objectives. - Excellent verbal and written communication skills. Additional Details: Mindcurv offers various perks like drinks, snacks, pizza sessions, gaming nights, and sensational parties, along with a pension scheme and competitive salary. The company provides interesting projects involving the latest technologies, an agile and entrepreneurial environment, work-life balance, a culture of transparency, and opportunities for growth. Mindcurv encourages self-starters, team-players, and continuous learners to thrive in their innovative work environment.,

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