Data Engineer, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The position of Data Engineer is responsible for delivering high-quality data products to support regulatory requirements and data-driven decision-making within Citi. Candidates will work on scalable and extensible solutions, ensure alignment with architectural vision, and contribute through knowledge in data architecture and modeling standards.

Job Responsibility:

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Requirements:

First Class Degree in Engineering/Technology (4-year graduate course)
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills

Nice to have:

Ab Initio: Experience developing Co>Op graphs
ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
Containerization: Fair understanding of containerization platforms like Docker, Kubernetes
File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
Others: Basics of Job scheduler like Autosys. Basics of Entitlement management
Certification on any of the above topics would be an advantage

Additional Information:

Job Posted:
November 04, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer