Description:

Position-Graph Data Engineer||Mumbai, Bangalore||

We are seeking a highly motivated and experienced Data Engineer with a strong focus on Graph Databases to join our growing data team. In this role, you will be responsible for designing, building, and maintaining robust and scalable graph-based data solutions. You will work closely with data scientists, analysts, and application developers to leverage the power of graph databases for complex data analysis, knowledge representation, and real-time applications.

Graph Data Modeling and Design:

- Design and implement efficient and scalable graph data models using appropriate graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph, etc.).

- Translate business requirements into effective graph schemas and data structures.

- Optimize graph models for performance and query efficiency.

Graph Database Development and Management:

- Develop and maintain graph database instances, including installation, configuration, and performance tuning.

- Implement data ingestion and transformation pipelines to populate graph databases from various data sources.

- Develop and optimize Cypher, Gremlin, or other graph query languages for complex data retrieval and analysis.

- Implement data security and access control mechanisms for graph databases.

- Monitor and maintain the health of graph databases.

Data Integration and ETL/ELT:

- Design and implement ETL/ELT processes to integrate data from diverse sources into graph databases.

- Develop and maintain data pipelines using tools like Apache Kafka, Apache Airflow, or similar technologies.

- Ensure data quality and consistency throughout the data integration process.

Graph Analytics and Application Development:

- Collaborate with data scientists and analysts to develop graph-based analytics solutions.

- Develop and implement APIs and applications that leverage graph database capabilities.

- Develop and implement algorithms for graph traversals, community detection, and other graph analytics tasks.

Technical Skills (Tools, Languages, Competencies):

1. GraphDB - GraphDb, Amazon Neptune, TigreGrpah, Dgraph, etc.

2. ETL= ELT ,Spark, Apache Airflow

3. Training Infrastructure = GPU Training/AWS/Azure

4. Data Bases= MongoDb, Postgres, Redis

5. Programming/ Scripting Language= Python, PySpark, Unix