Senior Full Stack Data Engineer / Lead Engineer

Role Overview We are seeking a Senior Full Stack Data Engineer / Lead Engineer to design and deliver scalable data pipelines and full-stack applications. The ideal candidate brings deep expertise in AWS cloud, data engineering, and modern UI development, with exposure to financial or asset management domains. Key Responsibilities • Design and build scalable data pipelines using Python, AWS, Airflow, and Snowflake/Redshift • Develop and optimize ETL/ELT workflows for large-scale datasets • Build modern web applications using React and UI frameworks (Material UI) • Enhance system performance, scalability, and reliability across infrastructure • Automate workflows and improve data delivery efficiency • Develop data ingestion, transformation, and analytics solutions • Create dashboards and tools for business insights and reporting • Collaborate with cross-functional teams and stakeholders • Provide technical leadership, mentorship, and architecture guidance Required Skills • 10+ years in full stack development and data engineering • Strong expertise in AWS (S3, EC2, Lambda, SNS, SQS) • Advanced proficiency in Python (OOP) and SQL • Experience with Apache Airflow and data orchestration • Hands-on with Snowflake or Redshift • Experience in microservices and REST APIs • Proficiency in Docker/Kubernetes and CI/CD tools (Jenkins, GitLab) • Frontend skills: ReactJS, Angular, HTML, CSS, JavaScript • Strong understanding of DevOps and automation practices Preferred Skills • Experience in Asset Management / Financial Services • Familiarity with Aladdin, Bloomberg, or FactSet • Knowledge of portfolio management, trading, and performance attribution • Exposure to AI-assisted development tools (e.g., Copilot, Claude) Leadership & Soft Skills • Strong communication and stakeholder management • Ability to lead teams, mentor engineers, and drive delivery • Experience designing end-to-end scalable solutions