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Citi

Graph Data Engineer- C11 - PUNE

Posted 2 Days Ago
Be an Early Applicant
In-Office
Pune, Mahārāshtra
Mid level
In-Office
Pune, Mahārāshtra
Mid level
The job entails designing and implementing Neo4j graph database solutions, optimizing Cypher queries, migrating data, and potentially developing Spark applications for data processing.
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Job Description

Responsibilities:

  • 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. This includes defining data models, creating nodes, relationships, and properties, and implementing Cypher queries to retrieve and manipulate data. 
  • Migrate data from relational or other databases into Neo4j.
  • Optimizing Cypher queries for performance, ensuring efficient data retrieval and manipulation. This may involve indexing, query optimization techniques, and understanding graph database performance characteristics. 
  • Familiarity with graph theory, graph data modeling, and other graph database technologies
  • Developing and optimizing Cypher queries
  • Integrating Neo4j with BI and other systems

Good to have:

  • Develop Spark applications using Scala or Python (Pyspark) for data transformation, aggregation, and analysis.
  • Develop and maintain Kafka-based data pipelines: This includes designing Kafka Streams, setting up Kafka Clusters, and ensuring efficient data flow.
  • Create and optimize Spark applications using Scala and PySpark: They leverage these languages to process large datasets and implement data transformations and aggregations.
  • Creating and maintaining documentation for system architecture, design, and operational processes

Proficiency in: 

  • Deep hands-on expertise into building Neo4j Graph solution
  • Hadoop ecosystem big data tech stack (HDFS, YARN, MapReduce, Hive, Impala)

Good to have:

  • Spark (Scala, Python) for data processing and analysis.
  • Kafka for real-time data ingestion and processing.
  • ETL processes and data ingestion tools 
  • Hands-on expertise in Pyspark, Scala, Kafka

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Top Skills

Cypher
Hadoop
Hdfs
Hive
Impala
Kafka
Mapreduce
Neo4J
Pyspark
Python
Scala
Spark
Yarn

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