Data Engineer
Apply NowCompany: Saxon Global
Location: Philadelphia, PA 19120
Description:
Location: atlanta, ga
Duration: 1 year+
rate: open
o Strategic Verticals
- Everything is almost solely focused on IoT
- Categories of Activities for the opportunity of growth
1. Troubleshooting and Triage (Adhoc and random at times, lack of data analysts)
2. Outcome assurances (like a QA function) - New feature or enhancement of a product - testing on what the functions - Like data analysis but
3. Internal Product Development - Dashboards reports, investments in cleaning and consolidation effort - Proactive
4. External product Development - enhancing the flow of the customers usage
5. infrastructure architecture - Data flows of the data
- Data is an asset that we are under utilizing
1. Building the muscle of data analytics
- Senior person to take leadership
1. Coaching and guidance to the DA manager - emotional focus on the situation that they are walking into
2. Tech investments that need to be made
3. Hands on experience in the weeds to get what needs to be done
Why data is valuable and how to make it valuable
Duration: 1 year+
rate: open
o Strategic Verticals
- Everything is almost solely focused on IoT
- Categories of Activities for the opportunity of growth
1. Troubleshooting and Triage (Adhoc and random at times, lack of data analysts)
2. Outcome assurances (like a QA function) - New feature or enhancement of a product - testing on what the functions - Like data analysis but
3. Internal Product Development - Dashboards reports, investments in cleaning and consolidation effort - Proactive
4. External product Development - enhancing the flow of the customers usage
5. infrastructure architecture - Data flows of the data
- Data is an asset that we are under utilizing
1. Building the muscle of data analytics
- Senior person to take leadership
1. Coaching and guidance to the DA manager - emotional focus on the situation that they are walking into
2. Tech investments that need to be made
3. Hands on experience in the weeds to get what needs to be done
Why data is valuable and how to make it valuable