Senior Data Engineer, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities.

Job Responsibility:

Design, develop, and maintain data processing pipelines using Java, Spark, and Kafka
Develop and deploy microservices using Spring Boot
Write efficient and scalable code to process large datasets
Implement real-time data ingestion and processing solutions using Kafka
Optimize Spark applications for performance and scalability
Collaborate with analysts, and other engineers to understand data requirements and deliver solutions
Develop and maintain unit and integration tests
Participate in code reviews and contribute to improving code quality
Troubleshoot and resolve production issues
Stay up-to-date with the latest technologies and trends in data engineering and microservices
Contribute to the design and architecture of our data platform and microservices ecosystem
Automate data quality checks and monitoring
Implement and maintain API gateways and service discovery mechanisms
Ensure the security and scalability of microservices
Implement and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI
Manage infrastructure as code using tools like Terraform or CloudFormation
Monitor application performance and infrastructure using tools like Prometheus, Grafana, or ELK stack

Requirements:

Bachelor's degree in computer science or a related field
8+ years of experience in software development with a focus on data engineering and microservices
5+ years of experience with Java and Spark
5+ years of experience with Spring Boot for building microservices
Strong understanding of data processing concepts and techniques
Experience with Kafka for real-time data ingestion and processing
Proficiency in SQL and experience with relational databases
Experience with cloud platforms such as AWS, Azure, or GCP is a plus
Familiarity with data warehousing concepts and technologies
Experience with big data technologies such as Hadoop, Hive, or Impala is a plus
Experience with containerization technologies like Docker and orchestration platforms like Kubernetes
Excellent problem-solving and communication skills
Ability to work independently and as part of a team
Understanding of microservices architecture principles and design patterns
Experience with DevOps practices and tools

Nice to have:

Experience with streaming technologies such as Apache Flink or Apache Storm
Experience with NoSQL databases such as Couchbase or MongoDB
Experience with data visualization tools such as Tableau or Qlik
Contributions to open-source projects
Experience with security best practices for cloud environments
Certifications in cloud platforms or DevOps tools

Additional Information:

Job Posted:
August 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer