Software Engineer 21339-1

Keylent, Inc.

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10 years of software engineering experience
  • Proficient in Python and AWS
  • Strong programming experience in object-oriented languages like Spark and Scala
  • 4+ years of programming experience as a Data Engineer, excluding college years
  • Good analytical and communication skills

Responsibilities

  • Support Hyperion application end-to-end and troubleshoot issues
  • Identify and implement internal process improvements
  • Optimize data delivery and redesign infrastructure for scalability
  • Build infrastructure for data extraction, transformation, and loading using AWS
  • Create analytical tools for actionable business insights
  • Assist analytics and data scientist teams in product optimization
  • Lead a medium-sized project team independently

Benefits

  • Onsite work in McLean, VA
  • Opportunity for professional development and training
  • Collaborative team environment
  • Access to cutting-edge technology and tools
  • Flexible work arrangements after initial onboarding
Full Job Description
Request-ID: 21339-1 Cognizant
*THIS ROLE IS ONSITE IN MCLEAN, VA*
Job Title: Software Engineer
Experience: 7 to 10 yrs
MUST HAVE SKILLS:

1. Python
2. AWS
Job Summary: Support Hyperion application end-to-end and troubleshoot any issues within the application. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability etc. 4+ years of Programming experience (Data Engineer) - outside of college experience required.
Roles & Responsibilities:
• 5+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages: Python, Spark, Scala
• 3+ years of working experience in AWS Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS
technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Should have good analytical skills
• Should be a good team player
• Should have effective communication skills
• Should be able to provide technical guidance to team and ensure tasks are closed on-time
• Should be able to run a medium sized (5 - 7 members) project team independently

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