Python data engineer - AI and ML applications - Vice president

Citigroup Inc.; Chennai District; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Citi is seeking an Applications Development Technology Lead Analyst to drive the design and delivery of large-scale data and AI/ML driven applications within a global technology team in Chennai, India. The role requires extensive experience in engineering, big data, and cloud technologies, and involves guiding mid-level developers, ensuring architectural alignment, and managing risk and compliance.

This senior position emphasizes collaboration across management teams and virtual squads to

Qualifications

• 12+ years of relevant experience in an Engineering role.
• Experience in Financial Services or large global environment.
• 3+ years of experience on Big Data technologies like Apache Spark, Hive, Hadoop & Storm.
• Strong programming knowledge with Python for data manipulation and AI/ML pipelines.
• Proficient with ELK, Docker, Kubernetes, Azure, AWS S3.
• Experience designing large-scale data solutions for AI/ML applications.
• Knowledge of NOSQL Databases such as MongoDB, HBase, Cassandra.
• Version control systems (Git) and CI/CD pipelines experience.
• Excellent written and verbal communication.
• Experience working in a matrix and cross-functional teams.

Responsibilities

• Partner with management teams to integrate functions and define system enhancements for new products.
• Resolve high-impact problems through evaluation of business and system processes.
• Provide expertise in applications programming and ensure designs align with architecture blueprint.
• Develop standards for coding, testing, debugging, and implementation.
• Understand how architecture and infrastructure integrate to achieve business goals.
• Provide in-depth analysis and develop innovative solutions.
• Coach mid-level developers and analysts and allocate work as needed.
• Assess risk and ensure compliance with laws, policy, and ethical conduct.

Skills

12+ years experience

Big Data: Spark/Hive/Hadoop/Storm

Python for data and AI/ML

ELK stack

Docker/Kubernetes

Azure Cloud / AWS S3

NoSQL: MongoDB/HBase/Cassandra

Git & CI/CD

Strong communication

Analytical thinking

Education

Bachelor's degree/University degree or equivalent

Master’s degree preferred

Tools

Docker

Kubernetes

Azure Cloud

AWS S3

MongoDB

Cassandra

Git

CI/CD pipelines

Job description

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 12+ years of relevant experience in an Engineering role
• Experience working in Financial Services or a large complex and/or global environment.
• 3+ Years of experience on BigData Technologies like Apache Spark , Hive, Hadoop & Storm.
• Extremely strong with data structure, algorithms and design patterns.
• Strong proficiency in programming languages such as Python with significant experience in Python for data manipulation and AI/ML pipeline scripting.
• Knowledge on technologies like ELK, Docker, Kubernetes, Azure Cloud, AWS S3 etc
• Proven experience designing and implementing large-scale data solutions for AI/ML applications.
• Knowledge on NOSQL Databases like MongoDB, Hbase, Cassandra etc.
• Knowledge in version control systems (e.g Git) and CI/CD pipelines.
• Consistently demonstrates clear and concise written and verbal communication
• Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
• Demonstrated analytic/diagnostic skills
• Ability to work in a matrix environment and partner with virtual teams
• Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
• Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
• Proven track record of operational process change and improvement

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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