Software Engineering

Solutions Engineer - 2 - GTD - BLR

Bengaluru, Karnataka
Work Type: Full Time

Hiring behalf of our client - Nasdaq listed company 

Job Title: Solutions Engineer - 2 

Job Details

Requirements
  • Bachelor's degree in Engineering. Computer Science is preferred.
  • Good written and verbal communication skills
  • 2-5 years of professional programming and database experience (relational and non-relational)
  • Good understanding of data structures, System design & cloud platforms like AWS, Azure, or GCP.
  • Expertise in one of programming language Python or Javascript or Java
  • Proficiency in writing SQL queries & building analytics dasbhoards
  • Experience in creating and working with REST APIs & knowledge about distributed systems and microservices
  • Good communication skills with experience in presenting data driven insights
  • You understand programming logic and software well.
  • You have systematic problem solving skills coupled with a strong sense of ownership and drive.
Responsibilities
  • Working closely with the project management team in designing & implementing technical solutions for multiple projects and ensure their efficacy and smooth data integration for various projects.
  • Identify and provide timely workarounds and solutions when possible for incoming technical issues in project execution
  • Articulating features and differentiate solutions offerings to audiences ranging from project managers to end clients.
  • Help in creating analytics dashboards for customers and fulfilment team (PM & supply team). Writing queries (in SQL).
  • Documenting the technology solutions in precise detail for them to be reproducible in the future.
  • Mentor Juniors & review their work.
  • Interacting with the clients to understand and help them in the data-integration process if needed.
  • Driving operational efficiency by writing scripts & APIs (Python, JS) to automate day to day work.
  • Work closely with Software Engineering team to come up with efficient & optimal solutioning of complex use cases

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