Senior/Lead Data Engineer
3 days ago
Work Setup & Schedule Full remote - 5pm - 2am Mon -Fri
Experience needed: 5years and above experience
Location Assignment/Deployment: PH
Turnaround time for the Hiring Process ideally 2 weeks at best
Interview: Virtual Online
Job Highlights
- Leadership Opportunities – This role will help you extend and expand your knowledge
and experience in technical leadership positions. These include technical decision making; guidance and mentorship of more junior team members; and developing
relationships with project, client, and company leadership – all while remaining hands on in your areas of expertise.
- Our technology focus is on Azure – you'll have plenty of exciting opportunities to grow
your skills in Microsoft and Azure in an environment committed to technical excellence
and client experience in a very specific, defined space. Six months of experience on our
team is worth years somewhere else.
- Microsoft Partnerships – Our great global relationship with Microsoft ensures that we
have a pipeline of cutting-edge Azure work opportunities, and access to the teams that
have built the platform. You won't find this at other places.
- Competitive compensation package, salary, allowance, standard benefits including
quarterly and annual performance-based cash bonus and other remuneration.
- Great working environment and company culture with flexible work location.
General Required Technical Skills:
- Experience leading small to medium sized technical teams (this includes work
allocation/distribution to team members, technical escalation and support, representing
the team in Agile ceremonies and client meetings).
- Expertise in designing and implementing logical and physical data models for cloud and
hybrid data warehouse environments
- Implementing data architectures to support a variety of data formats and structures
including structured, semi-structured and unstructured data
Experience with multiple full life-cycle data warehouse implementations
Understanding of data architectures required to support data integration processing
Experience with data modeling technologies such as ER/Studio, ER/Win or similar
Experience with Microsoft Azure Data Platform services including Azure Data Lake Store,
Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps,
APIs
Demonstrated ability to quickly learn, adopt and apply new technologies
Data profiling and creation of source to target mappings
Ability to provision and configure Azure data service resources
Job Type: Full-time
Pay: Php180, Php210,000.00 per month
Benefits:
- Health insurance
- Work from home
Work Location: Remote
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