Graph Data Engineer, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Citi is seeking a Graph Data Engineer experienced in Neo4j and related technologies to design and implement graph database solutions, optimize queries, and integrate with other systems. The candidate must be well-versed in graph theory, Cypher, and big data technologies like Hadoop and must display proficiency in creating and maintaining graph database architectures. Knowledge of BI integration and optional proficiency in Spark, Python, and Kafka is desirable.

Job Responsibility:

Designing and implementing graph database solutions
Creating and maintaining graph schemas, models, and architectures
Defining data models, creating nodes, relationships, and properties
Implementing Cypher queries
Migrating data from relational or other databases into Neo4j
Optimizing Cypher queries for performance
Indexing and applying query optimization techniques
Integrating Neo4j with BI and other systems

Requirements:

Neo4j expertise: Proven experience with Neo4j, including its core concepts, Cypher query language, and best practices
Designing and implementing graph database solutions: This includes creating and maintaining graph schemas, models, and architectures
Designing, developing, and deploying graph-based solutions using Neo4j
Defining data models, creating nodes, relationships, and properties, and implementing Cypher queries
Migrate data from relational or other databases into Neo4j
Optimizing Cypher queries for performance, ensuring efficient data retrieval and manipulation
Familiarity with graph theory, graph data modeling, and other graph database technologies
Developing and optimizing Cypher queries
Integrating Neo4j with BI and other systems
Deep hands-on expertise into building Neo4j Graph solution
Hadoop ecosystem big data tech stack (HDFS, YARN, MapReduce, Hive, Impala)

Nice to have:

Develop Spark applications using Scala or Python (Pyspark) for data transformation, aggregation, and analysis
Develop and maintain Kafka-based data pipelines
Designing Kafka Streams, setting up Kafka Clusters
Ensuring efficient data flow
Create and optimize Spark applications using Scala and PySpark
Process large datasets and implement data transformations and aggregations
Creating and maintaining documentation for system architecture, design, and operational processes
Hands-on expertise in Pyspark, Scala, Kafka

Additional Information:

Job Posted:
July 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Graph Data Engineer