Data Engineer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

Data Engineer position responsible for design, development implementation and maintenance of data flow channels and data processing systems that support collection, storage, batch and real-time processing, and analysis of information in scalable, repeatable, and secure manner in coordination with Data & Analytics team.

Job Responsibility:

Design, develop, implement and maintain data flow channels and data processing systems
Support collection, storage, batch and real-time processing, and analysis of information
Ensuring high quality software development with complete documentation and traceability
Develop and optimize scalable Spark Java-based data pipelines for processing financial data
Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance
Ensure efficient data storage and retrieval using Big Data
Implement best practices for spark performance tuning
Maintain high code quality through testing, CI/CD pipelines and version control
Work on batch processing frameworks for Market risk analytics
Work with business stakeholders and Business Analysts to understand requirements
Work with other data scientists to understand and interpret complex datasets

Requirements:

9-12 years of experience in data ecosystems
5-8 years hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big Data frameworks
4+ years experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc)
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.)
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization)
Experience building and optimizing 'big data' data pipelines, architectures, and datasets
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Experience with external cloud platform such as OpenShift, AWS & GCP
Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos)
Bachelor's/University degree or equivalent experience in computer science, engineering, or similar domain

Nice to have:

Experience in banking & finance domain
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Highly effective interpersonal and communication skills with tech/non-tech stakeholders
Ability to work in a fast-paced financial environment

Additional Information:

Job Posted:
August 23, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Data Engineer