Senior Spark Bigdata Engineer, Citi

Citi

Location:

India, Chennai

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

We are looking to bring in a Java/Spark Big Data Developer in the Enterprise Data Services team under Enterprise Operations and Technology, to help the implementation of next generation Data Platform using cutting edge Data Management Technologies. The Candidate is required to possess relevant design and development experience in the Big Data Eco-System and should be a strong team player. Exposure to Finance OR Risk Functions on the Retail Banking products or Wholesale/Investment banking is preferred. This is a significant opportunity for an experienced developer with experience in modern data platforms to move into a role working with a variety of development teams, including close collaboration with an on-site Data Governance team.

Job Responsibility:

Lead team members and manage modules
Participate in the design and requirement gathering
Develop Java-based high throughput data-intensive applications for data integration, consumption, and generation
Develop robust Data Quality core framework for measurement
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Requirement analysis including interaction with Business Users
Help build continuous integration environment
Perform Unit Testing, System Testing for all applications developed/enhancements and ensure critical and high-severity bugs are addressed
Engage in end-to-end system design and development processes
Work on BAU development requests as required
Ensure application development and enhancement is in line with Citi’s Coding Standards
Partner with multiple Technology teams to ensure appropriate integration of functions to meet goals
Identify and define necessary system enhancements to deploy new products and process enhancements
Solve high-impact, high-profile problems/projects with considerable business impact through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced understanding of the principles of applications programming
Develop standards for coding, testing, debugging, and implementation
Provide expertise in technical analysis and solving technical issues during project delivery
Responsible for applications systems analysis and programming activities

Requirements:

8 to 12 years of experience
Strong Python/Java/Scala working experience
Strong experience in Big Data technologies like Pyspark, Flink, Kafka, HDFS, Hive, and Air Flow
Good to know Snowflakes, AWS, and Google Cloud
Exposure to Kubernetes and Docker or Openshift
Working experience with Any Hadoop Distribution - Cloudera/Hortonworks or AWS/Google Cloud Platform
Comfortable working with large data volumes
Experienced with Linux/Unix platform
Experience in RDMS and NoSQL databases
Experience in Service-oriented architecture and data standards like JSON, Avro, Parquet
Experience using ALM and CICD tools like GitHub, Bitbucket, TFS, Jenkins, uDeploy, BMC RLM or related tools in an agile methodology
Experience in working with Gen AI Tools like Copilot
Experience in SCMs like GIT
Tools like JIRA
Experienced with automated build and test processes
Familiar with the financial services industry and/or regulatory environments
Capable of assisting with the design of solutions and mentoring other developers within the same team
Demonstrated leadership skills
Consistently demonstrates clear and concise written and verbal communication
Ability to work as part of a team and independently
Interpersonal skills to interact with team members and clients
Prior experience working with remote teams
Willing to work extended hours to interact with global partners/teams or as per project demand

Nice to have:

Python
Kafka or other equivalent messaging services
Exposure on Public Cloud - GCP/AWS/Azure

What we offer:

Be a part of a development team to develop, enhance, support, and maintain solutions for GFTS Data Services applications
Participate in technical discussions/brainstorming sessions and define ideas and strategies for existing and future platforms
Gain exposure to Wholesale, Retail business across data, risk, and finance
Work across diverse set of data platforms and have an opportunity to be part of re-architecture and re-platforming initiatives on modern Big Data technologies

Additional Information:

Job Posted:

March 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Spark Bigdata Engineer