Overview

We are looking for a skilled Senior AWS Data Engineer to contribute to the design, development, and optimization of secure data pipelines and cloud-based architectures. In this senior role, you will work alongside a team of talented engineers, supporting innovative projects such as building scanned image data pipelines and aiding healthcare data migration into scalable solutions.

Be part of a dynamic team where innovation and collaboration fuel success as we build secure and scalable AWS solutions!

Responsibilities

  • Support and collaborate with data engineers to deliver effective, scalable solutions
  • Assist in designing workflows optimized for AWS Glue and Amazon Athena
  • Enhance distributed data processing systems utilizing Apache Spark
  • Contribute to analyzing business requirements and developing BI processes
  • Aid in data migration projects for centralized, high-performance solutions
  • Integrate scanned image data pipelines into new or existing systems efficiently
  • Monitor and troubleshoot AWS systems to ensure reliability and improved performance
  • Participate in code reviews and promote quality practices in data engineering and cloud computing
  • Work closely with internal teams and leadership to align project goals with organizational objectives
  • Research emerging cloud and data engineering technologies to help adopt improved methods

Requirements

  • 3+ years of professional experience in data engineering or a related field
  • Experience contributing to technical teams focused on developing large-scale solutions
  • Practical knowledge of AWS Glue, Amazon Athena, and other relevant AWS tools
  • Experience with Apache Spark for distributed processing and data pipeline tasks
  • Familiarity with BI processes and ability to support scalable solution development
  • Understanding of basic data management practices, including governance and security
  • Ability to troubleshoot cloud-based architectures and maintain system performance
  • Availability to work in EST time zone and collaborate with a LATAM-based engineering team
  • English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

  • Knowledge of Amazon Elastic Kubernetes Service (EKS) for containerized application orchestration
  • Understanding of Amazon Kinesis for real-time data streaming processes
  • Familiarity with Apache Hive for data warehouse purposes and integration with big data ecosystems
  • Knowledge of BI Toolset operational workflows for streamlined business intelligence reporting
  • Understanding of Java and/or Node.js with flexibility to utilize them for development tasks
  • Skills in SQL with a proven track record of crafting and optimizing queries for performance

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn