AWS PySpark Data Engineer

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

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

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.
  
  

Benefits

Standard Company Benefits