Senior and Principal Data Engineers 

Work Remotely? YES
Job Role: Senior and Principal Data Engineers 
Company: Agile Analytics
Work Schedule: Monday-Friday (Fixed Weekend Off)
Typically around 8:30AM - 5:00PM AEST
Work Duration: Full-time
Rate or Salary Range: Up to PHP XXX,XXX monthly depending on skills and experience.
Where/How to send application:
If you’re interested and qualified you may send your CV and cover letter to: 
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Benefits:
- Paid Training
- HMO with dependent
- 13th month pay
- Government Contributions
- Rice/Internet Allowance
- Hardware/Equipment will be provided
- Performance Bonus
- Sick/Vacation Leave
- Regular Team Gatherings
- Collaborative and friendly working environment
We are looking for an experienced Senior and Principal Data Engineer for our company located in Sydney, Australia.
A great chance to join a fast-growth company, learn about a wide range of businesses and work with large clients and global brands in a friendly start-up culture. 
Overview of role:
As a Senior and Principal Data Engineer, you’ll be flexible in a constantly changing environment, comfortable working across multiple projects at any one time. You will be part of a global team working primarily remotely and will be provided with the hardware needed to build your best work.
Reporting to:
· Data Engineering Lead
Training:
· Upkeeping Microsoft Certifications
Typical responsibilities include:
Architect and/or build technical solutions in Microsoft Azure.
Coaching and mentoring consultants in your team.
Managing schedules and resourcing in partnership with the wider management team.
Support pre-sales activity, discussing and designing solutions and assisting preparing proposal documents.
Essential Skills, Knowledge and Qualifications for the Successful Candidate Include:
Excellent communication skills, able to clearly interact with clients and peers.
Experience presenting to groups and facilitating workshops.
Experience leading and mentoring technical staff. Background in consulting and experience working on projects.
Consulting or client service delivery experience on Azure
Data modelling and data architecture design.ELT, data integration and data migration development particularly with Azure Data Factory.
Master data management system and process design and implementation.
Data quality system and process design.
Analysis of requirements and production of specifications.
Documentation of solutions (e.g. data models, configurations, and setup).
Solution/technical architecture in the cloud including migration from on-premise infrastructure.
Big Data/analytics/information analysis/database management
Extensive hands-on experience implementing data migration and data processing using Azure services (the more areas experience the better): Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalogue, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.IoT/event-driven/microservices in the cloud a nice to have
Experience with Azure Data Factory, Event Hub, etc.
Ability to work remotely via Microsoft Teams
Aptitude for critical and analytical thinking, as well as the capacity to leverage out-of-the box solutions
Keen for a fast-paced environment with opportunities to learn, grow, and be exposed to a variety of problems, clients, and technologies