You haven't searched anything yet.
Role: : DataOps Engineer | 8 Years
Location: Detroit, MI | Hybrid |
Mandatory Skills:
Python 7 years Expert
AWS 7 Years Expert
Terraform 7 Years Expert
GitLab 7 Years Expert
Job summary
• Experience with Python, AWS, API Integration, terraform, gitlab
• Knowledge of Oracle (on prem or RDS), Snowflake.
• Knowledge of SQL Scripting.
• Application development using Java is desirable.
• Knowledge of Test data management , including masking. Examples: Delphix, Optim.
• Ability to write effective unit, integration, and API tests
Additional skills:
Snowflake/Oracle/(Other Database)
SQL Scripting
Java knowledge
Experience: 6-9 yrs
Required Skills: Python
Other
Business Services
$104k-123k (estimate)
03/31/2023
05/31/2023
reqroute.com
SAN JOSE, CA
50 - 100
2008
YASH DAVE
<$5M
Business Services
The job skills required for DataOps Engineer include SQL, Python, AWS, Java, API, etc. Having related job skills and expertise will give you an advantage when applying to be a DataOps Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by DataOps Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for DataOps Engineer positions, which can be used as a reference in future career path planning. As a DataOps Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary DataOps Engineer. You can explore the career advancement for a DataOps Engineer below and select your interested title to get hiring information.