Lead AWS Data Engineer with finance, PySpark and Python

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term

Skills

aws
lambda
Python
Cloud
Data Engineer
finance
Glue
Pyspark
Lead
Financial

Job Details

Hello,

Hope you are doing well,

Lead AWS Data Engineer

Charlotte, NC - Onsite

About the Role

Join our team as a skilled Data Engineer supporting a top financial rating agency. Passionate about data, proficient in Python, PySpark, and object-oriented programming.

Job Responsibilities
  • Design, develop, and optimize large-scale data pipelines using PySpark and Python.
  • Implement and adhere to standard methodologies in object-oriented programming to develop reusable, maintainable code.
  • Write advanced SQL queries for data extraction, transformation, and loading (ETL).
  • Work closely with data scientists, analysts, and collaborators to gather requirements and translate them into technical solutions.
  • Troubleshoot data-related issues and resolve them in a timely and accurate manner.
  • Leverage AWS cloud services (e.g., S3, EMR, Lambda, Glue) to build and manage cloud-native data workflows (preferred).
  • Participate in code reviews, data quality checks, and performance tuning of data jobs.
Required Skills & Qualifications
  • Strong hands-on experience with PySpark and Python, especially in crafting and implementing scalable data transformations.
  • Solid understanding of Object-Oriented Programming (OOP) principles and design patterns.
  • Proficient in SQL, with the ability to write complex queries and optimise performance.
  • Strong problem-solving skills and the ability to troubleshoot complex data issues independently.
  • Excellent communication and collaboration skills.
Preferred Qualifications (Nice to Have):
  • Exposure to data warehousing concepts, distributed computing, and performance tuning.
  • Familiarity with version control systems (e.g., Git), CI/CD pipelines, and Agile methodologies.

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