Job Description

Job Title - Senior Data Engineer (Graph DB specialist)+ Specialist + Global Song

Management Level : 9,Specialist

Location: Kochi, Coimbatore

Must have skills: Data Modeling Techniques and Methodologies

Good to have skills: Proficiency in Python and PySpark programming.

Job Summary:

We are seeking a highly skilled Data Engineer with expertise in graph databases to join our dynamic team. The ideal candidate will have a strong background in data engineering, graph querying languages, and data modeling, with a keen interest in leveraging cutting-edge technologies like vector databases and LLMs to drive functional objectives. Your responsibilities will include:
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, with a focus 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.

Roles & Responsibilities:

Experience:

At least 5 years of hands-on experience in data engineering. With 2 years of experience working with Graph DB.

Programming:

ETL Processes:

Data Modeling:

Strong skills in creating ontologies and knowledge graphs.Presenting data for Graph RAG based solutions

Vector Databases:

LLMs:

Communication:

Cloud Platforms:

Experience with Azure analytics platforms, including Function Apps, Logic Apps, and Azure Data Lake Storage (ADLS).

Graph Analytics:

Familiarity with graph algorithms and analytics.

Agile Methodology:

Hands-on experience working in Agile teams and processes.

Machine Learning:

Understanding of machine learning models and their implementation.

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