Data Engineer with AWS

Compunnel

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced Python programming skills required.
  • Advanced SQL skills necessary.
  • Strong hands-on experience with AWS services like AWS Glue and Amazon S3.
  • Demonstrated experience in building data engineering applications using AWS.
  • Experience with AWS Lambda and Amazon Redshift is a plus.

Responsibilities

  • Design and develop a transaction stitching application for fund tracking.
  • Build and maintain data processing solutions for financial data analysis.
  • Develop scalable data engineering solutions using Python and SQL.
  • Integrate AWS data services to enhance application development.
  • Optimize data workflows to ensure accurate transaction tracking.

Benefits

  • Opportunities for professional development and growth.
  • Flexible working arrangements available.
  • Collaborative work environment with cross-functional teams.
  • Access to cutting-edge technology and tools.
Full Job Description
Job Summary: The Data Engineer will design and build an extensive transaction stitching application that tracks the journey of money flowing through a client's account over the lifetime of funds. The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • Design and develop a transaction stitching application to track the movement and lifecycle of funds through client accounts. • Build and maintain data processing solutions supporting transaction stitching and financial data analysis. • Develop scalable data engineering solutions using Python, SQL, and AWS services. • Integrate and utilize AWS data services to support application development and data processing requirements. • Develop and optimize data workflows to ensure accurate tracking of transactions and fund journeys. Required Qualifications: • Advanced Python programming skills. • Advanced SQL skills. • Strong hands-on experience with AWS services such as AWS Glue, Amazon S3, AWS Lambda, and Amazon Redshift. • Experience building data engineering applications and solutions using AWS services.

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