Senior Data Engineer

Job Description We are seeking a highly skilled and experienced Senior Data Engineer to lead the end-to-end development of complex models for compliance and supervision. The ideal candidate will have deep expertise in cloud-based infrastructure, ETL pipeline development, and financial domains, with a strong focus on creating robust, scalable, and efficient solutions.

Key Responsibilities: • Model Development: Lead the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks. • Cloud Infrastructure: Design, build, and optimize scalable cloud infrastructure solutions with a minimum of 5 years of experience. • ETL Pipeline Development: Create, manage, and optimize ETL pipelines using PySpark for large-scale data processing. • CI/CD Implementation: Build and maintain CI/CD pipelines for deploying and maintaining cloud-based applications. • Data Analysis: Perform detailed data analysis and deliver actionable insights to stakeholders. • Collaboration: Work closely with cross-functional teams to understand requirements, present solutions, and ensure alignment with business goals. • Agile Methodology: Operate effectively in agile or hybrid agile environments, delivering high-quality results within tight deadlines. • Framework Development: Enhance and expand existing frameworks and capabilities to support evolving business needs. • Documentation and Communication: Create clear documentation and present technical solutions to both technical and non-technical audiences.

Requirements • 10+ years of experience with Python programming. • 5+ years of experience in cloud infrastructure, particularly AWS. • 3+ years of experience with PySpark, including usage with EMR or Glue Notebooks. • 3+ years of experience with Apache Airflow for workflow orchestration. • Solid experience with data analysis in fast-paced environments.

Domain Expertise: • Strong understanding of capital markets, financial systems, or prior experience in the financial domain is a must.

Technical Skills: • Proficiency with cloud-native technologies and frameworks. • Familiarity with CI/CD practices and tools like Jenkins, GitLab CI/CD, or AWS CodePipeline. • Experience with notebooks (e.g., Jupyter, Glue Notebooks) for interactive development.

Soft Skills: • Excellent problem-solving skills and ability to handle complex technical challenges. • Strong communication and interpersonal skills for collaboration across teams and presenting solutions to diverse audiences. • Ability to thrive in a fast-paced, dynamic environment.

Preferred Qualifications: • Experience with data governance and compliance frameworks. • Familiarity with machine learning frameworks and techniques for financial modeling. • Certifications in AWS or other cloud technologies.

Benefits • Competitive compensation and benefits. • Opportunity to work on cutting-edge compliance and supervision technologies. • Collaborative and innovative work environment.