Bachelor's degree in Computer Science/Engineering, Analytics, Statistics or equivalent work experience.
6+ years of work experience in Data Engineering, ETL Development and Data Analytics.
6+ years of hands-on experience using SQL and scripting language such as Unix Shell or Python
5+ years of hands-on experience developing on a Linux platform.
4+ years of hands-on experience working in traditional RDBMS such as Oracle, DB2.
1+ years of hands-on experience working scripting language such as Python or SAS with BASE SAS, SAS MACRO, and SAS STAT
Excellent written and verbal communication and presentation skills
Ability to collaborate with internal and cross functional teams
Mathematical Skills (if applicable)
Basic math functions such as addition, subtraction, multiplication, division and analytical skills.
Must be able to work independently with minimal supervision, strategic thinking and organizational planning skills
Physical Demands (if applicable)
This position involves regular ambulating, sitting, hearing, and talking.
May occasionally involve stooping, kneeling, or crouching.
Ability to work a flexible schedule based on department and company needs.
BayOne has succeeded in serving our clients’ hunger for a scalable, low latency team by nurturing deep pools of talent. We have a rigorous screening and evaluation process, and we value referrals, contribution to tech forums and client recommendations. We can ramp-up or ramp-down teams with low latency of response. Our mentors and industry experts provide education on leading topics, and hands-on training with industry relevant use cases to help clients’ existing workforce to quickly retool themselves and stay relevant being part of a thriving and productive workforce of the future.