Senior Data Engineer

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:

• Querying: Advanced knowledge of Cypher, SPARQL, or GQL querying languages.

ETL Processes:

• Expertise in designing and optimizing ETL processes for graph structures.

Data Modeling:

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

Vector Databases:

• Understanding of similarity search techniques and RAG implementations.

LLMs:

• Experience working with Large Language Models for functional objectives.

Communication:

• Excellent verbal and written communication skills.

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 Methodolog

Hands-on experience working in Agile teams and processes.

Machine Learning

Understanding of machine learning models and their implementation.