Associate Director - Expert - Full Stack Development - IN

Overview

Hands-on technical lead role on the data engineering team, supporting the fixed income quant modeling team with Python and AWS solutions while also providing architectural guidance and mentoring engineers.

What you'll do

• Understand fixed income quant statistical models and implement solutions as per business needs.
• Design, develop, and maintain scalable data engineering solutions using Python and AWS services.
• Develop serverless applications leveraging AWS Lambda integrated with S3 and other AWS services.
• Design and manage DAG-based orchestration for end-to-end data pipeline execution.
• Provide technical leadership and architectural guidance while remaining actively engaged in hands-on development.
• Collaborate with cross-functional teams including data analysts, business stakeholders, and platform engineering.
• Establish and enforce coding standards, best practices, and code review processes.
• Mentor junior and mid-level engineers, fostering technical growth within the team.
• Troubleshoot and resolve production issues, ensuring high availability and performance of data pipelines.
• Contribute to technical roadmap planning and platform modernization initiatives.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience), with 12+ years of overall technology experience, significant time in hands-on engineering roles.
• 12+ years required of work experience.
• Strong hands-on programming experience in Python, including building production-grade data processing applications.
• Practical, hands-on experience with AWS EC2 and Lambda compute engines and event-driven processing.
• Serverless architecture experience.
• Experience with Amazon S3 for data storage, lifecycle management, and integration with downstream pipelines.
• General familiarity with the AWS ecosystem to support cross-service integrations.
• Experience designing, building, and maintaining DAGs (such as Apache Airflow or equivalent orchestration frameworks) for multi-step data pipelines.
• Familiarity with data modeling concepts and SQL performance tuning.
• Proven track record of delivering production-grade solutions in Python/AWS environments.
• Knowledge of the Fixed Income investment domain.
• Strong problem-solving skills and ability to work independently in ambiguous or evolving requirements.
• Excellent communication skills, with experience presenting technical solutions to both technical and non-technical stakeholders.

Nice to have

• Prior exposure to or working knowledge of the asset management or broader financial services industry.
• Familiarity with Fixed Income investment data concepts, quant strategies, quant modelling, portfolio management systems.
• Experience with databases (SQL Server experience).
• Version control proficiency with Git and CI/CD integration.
• Experience with UI frameworks (such as React) and API frameworks (such as Kong API).
• Familiarity with application security.
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Familiarity with containerization (Docker) and deployment pipelines.
• Understanding of data governance, security, and compliance practices in cloud environments.

Details

• Location: Pune, India.
• Physical requirements: Sedentary work.
• Career level: 9IC.