Acuvate
About the Company
Acuvate is a global software service provider with over 18 years of experience in digital solutions, accelerating enterprise-wide digital transformation with our AI accelerators. We provide solutions and services that modernize, automate and support enterprise applications, IT systems, and infrastructure. We have a strong presence in the US, Europe, and APAC, where we serve multiple ultra-large customers with over $20B revenue. With our multi-skilled experts and packaged AI accelerators, we deliver unparalleled efficiencies and accelerate time-to-value for our customers.
Acuvate is a pioneer in providing benchmark IT services and business-critical solutions for various verticals. We specialize in Migration & Modernization of Content, Data, Infrastructure, and Digital Workplace Solutions such as AI-powered Chatbots, Intranets, Advanced analytics, & Trade Promotion Optimization that helps in improving communication, collaboration, and productivity at an enterprise level. Our unique consultative approach helps our customers run their business efficiently, and our AI-driven managed services ensure 100% uninterrupted business operations.
Acuvate is a Microsoft Gold certified partner with Microsoft bot framework, Microsoft Azure, Office 365, SharePoint, business intelligence, advanced analytics, Power BI being our core areas of expertise. We are a preferred partner of several Fortune 500 companies and have digitally transformed more than 200 reputed enterprises worldwide and counting. Our long-term relations with our customers are a result of our commitment to the timelines, quality deliverables and are a testimony to the trust our client has in us.
Listed Jobs
- Company Name
- Acuvate
- Job Title
- Data Architect @London
- Job Description
-
Proven experience with different data types.
Proven experience with data modeling.
Experience with Cloud based Databases.
Ideally experience with timeseries databases such as InfluxDB.
Proven experience with various data loading (Pipelining / ETL / Streaming) technologies.
Proven experience with database sizing.
Experience with:
MS O365 Sharepoint.
Technical data stores such MS Azure Files (example).
Timeseries data stores.
Various (long term) archiving technologies.
Experience with various data reporting technologies.
(Some) Exposure to AI options for data.
Experience in Manufacturing sector.
- Company Name
- Acuvate
- Job Title
- Data Architect
- Job Description
-
Role: Data Architect
Experience: 5+ years
Contract duration: 6 months (Extendable)
Location: Bristol ( Need to work from our customer location at least 2 days in a week)
Proven experience with different data types.
Proven experience with data modelling.
Experience with Cloud based Databases.
Ideally experience with time series databases such as Influx DB.
Proven experience with various data loading (Pipelining / ETL / Streaming) technologies.
Proven experience with database sizing.
Experience with:
MS O365 SharePoint.
Technical data stores such MS Azure Files (example).
Time series data stores.
Various (long term) archiving technologies.
Experience with various data reporting technologies.
Exposure to AI options for data.
- Company Name
- Acuvate
- Job Title
- InfluxDB Engineer @London
- Job Description
-
Job: InfluxDB timeseries data platform expert
Main experience needed:
Proven experience with configuring & designing InfluxDB.
Proven experience with developing and implementing data loading procedures for InFluxDB.
Proven experience with developing reporting for InfluxDB.
Proven experience with troubleshooting InfluxDB set ups.
In other words we look for a person with proven InfluxDB expertise
- Company Name
- Acuvate
- Job Title
- Azure Data Architect @London
- Job Description
-
Company Website: https://acuvate.com/
LinkedIn URL: https://www.linkedin.com/company/acuvate/mycompany/
Proven experience with different data types.
Proven experience with data modeling.
Experience with Cloud based Databases.
Ideally experience with timeseries databases such as InfluxDB.
Proven experience with various data loading (Pipelining / ETL / Streaming) technologies.
Proven experience with database sizing.
Experience with:
MS O365 Sharepoint.
Technical data stores such MS Azure Files (example).
Timeseries data stores.
Various (long term) archiving technologies.
Experience with various data reporting technologies.
(Some) Exposure to AI options for data.