Senior Data Engineer

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

Required Qualifications:
 

      •     05+ 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.
 

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

      •     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.
 

      •     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