Big Data Engineer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Digital S/W Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

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 10 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:

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
Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery
Demonstratable understanding of underlying architectures and trade-offs
Exposure to data validation, cleansing, enrichment and data controls
Fair understanding of containerization platforms like Docker, Kubernetes
Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
Basics of Job scheduler like Autosys
Basics of Entitlement management
Certification on any of the above topics would be an advantage

What we offer:

Equal opportunity employer
Accommodation for persons with disabilities

Additional Information:

Job Posted:
May 28, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Big Data Engineer