Senior Full Stack Data Engineer, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Senior Full Stack Data Engineer role in Citi's Chief Technology Office (CTO) Technology Strategy practice, responsible for developing and maintaining Citi's Technology Strategy in support of firm's Businesses and Functions. This is a hands-on development role joining an existing global team of technology strategy analysts, project/product managers and engineers based in US, UK and India.

Job Responsibility:

Design and develop scalable data solutions leveraging platforms such as Iceberg, Snowflake, Trino, or other modern data ecosystems
Design, build, and optimize robust Extract, Load, Transform (ELT) and Extract, Transform, Load (ETL) data pipelines
Collaborate effectively with domain experts, product managers, analysts, and data scientists to understand data requirements and deliver efficient data solutions
Enable advanced analytics and machine learning workflows by ensuring the delivery of high-quality, reliable, and timely data
Implement and manage CI/CD pipelines to automate data engineering workflows across both cloud and on-premises environments
Research, evaluate, and recommend the integration of open-source technologies into our data platform
Clearly communicate complex technical details, project progress, and challenges to both technical and non-technical stakeholders
Design, develop, and implement scalable full-stack applications using technologies such as JavaScript, ReactJS, NodeJS, Python, and SQL/NoSQL databases
Write clean, efficient, well-documented, and maintainable code, adhering to industry best practices

Requirements:

Minimum of 8 years of proven experience in software development
Significant experience as a Data Engineer and Full Stack Developer
Strong proficiency in SQL for data querying, manipulation, and optimization
Experience with NoSQL databases, such as MongoDB
Expertise in designing and developing data pipelines for ingestion, transformation, and processing of large datasets
Deep understanding of multithreading, thread pools, Object-Oriented Programming (OOP) concepts, and design patterns
Demonstrated experience working in an Agile software development environment
Excellent communication, problem-solving, and analytical skills
Proficiency in at least one of the following programming languages: Java or Python
Strong knowledge of DevOps practices, including source control management (e.g., Git), Continuous Integration (CI), Continuous Delivery/Deployment (CD), and automated deployments
Solid understanding of data structures, algorithms, and principles of distributed storage and compute systems
Comprehensive understanding of unit testing methodologies, test coverage principles, and practical experience in writing effective unit tests
Familiarity with real-time data processing tools such as Kafka, Flink, or Storm
Experience with deployment platforms like Kubernetes and OpenShift, and practical experience in API development
Ability to perform effectively under pressure, manage multiple deadlines, and adapt to unexpected changes

Nice to have:

Hands-on experience with Spark programming (PySpark, Scala, or Java)
Experience with object storage solutions (e.g., AWS S3, Google Cloud Storage (GCS))
Strong proficiency in JavaScript, including experience with modern frameworks like ReactJS and backend development with NodeJS
Familiarity with Trino

Additional Information:

Job Posted:
September 27, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Full Stack Data Engineer