- Data Engineer Senior Analyst – Assistant Vice President - C12 – Pune

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Job Overview

Senior Full Stack Data Engineer (Java, Python, React, SQL, Rest APIs) – Assistant Vice President - C12 – Pune

Do you thrive on solving complex problems and building full-stack solutions that make an impact? Ready to influence big tech decisions and help shape the technology strategy of a global bank?"

The Chief Technology Office (CTO) is building out its Technology Strategy practice, which is responsible to develop and maintain Citi’s Technology Strategy in support of firm’s Businesses and Functions. As part of the Technology Strategy Team, the candidate will be joining an existing global team of technology strategy analysts, project/product managers and engineers.

The role is hands-on development role to join existing engineering team based out US, UK and India. The overall objective of this role is to participate and engage in applications systems analysis and programming activities.

Responsibilities:

• 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 through well-engineered pipelines.
• 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 to enhance functionality, scalability, and performance.
• 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, supporting data visualization and interaction.
• Write clean, efficient, well-documented, and maintainable code, adhering to industry best practices and rigorous quality standards throughout the Software Development Life Cycle (SDLC).

Qualifications:

• Minimum of 8 years of proven experience in software development, with 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, with a strong emphasis on ELT/ETL methodologies and tools.
• 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 with a proactive approach to identifying and addressing technical challenges.
• Ability to identify and implement improvements in data reliability, efficiency, and quality, including participation in peer code reviews.
• 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 in expectations or requirements.

Preferred Skills and Qualifications:

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