Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift

TASQ Staffing Solutions

Makati

Remote

PHP 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Remote work
Performance-based bonuses

Job summary

TASQ Staffing Solutions is seeking a Senior Consultant Data Architecture & Engineering to join our GDC team on a remote, midshift. You will design and implement data models for cloud and hybrid data warehouses and guide data integration strategies.

The ideal candidate has 4+ years of relevant experience, deep knowledge of Azure data services, and hands-on experience with ER/Studio or ER/Win. You will mentor junior engineers and collaborate with project and client leadership while remaining

Qualifications

  • At least 4 years of relevant experience.
  • Experience with designing logical and physical data models for cloud and hybrid data warehouse environments.
  • Experience with data integration processing and multiple full life-cycle data warehouse implementations.

Responsibilities

  • Design and implement data models for cloud and hybrid data warehouses.
  • Lead data architecture projects and mentor junior engineers.
  • Collaborate with project and client leadership while remaining hands-on in data engineering tasks.

Skills

4+ years experience
Data modeling
Data architecture
Azure
Python
SQL
PySpark
APIs

Tools

ER/Studio
ER/Win

Job description

Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift

Job Openings Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift

About the job Senior Consultant Data Architecture & Engineering (GDC) | WFH, midshift
About the job: Senior Consultant Data Architecture & Engineering (GDC) | REMOTE
Work setup: remote, 5 p.m. to 2 a.m.
Job Highlights:
  • Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration.
  • Leadership Opportunities: Thisrole 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'llhave 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: Ourgreat 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.
  • Great working environment and company culture with a flexible work location.
Required Technical Skills:
  • At least 4 years of relevant experience
  • 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
  • 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

Detailed Required Skills:

  • Python & SQL Scripting
  • SQL, PySpark
  • General Cloud Architecture competency capable of taking requirements and building out data pipelines
  • API Knowledge is required, but preference given to candidates who can create APIs

Preferred Skills/Certifications/Experience:

  • Microsoft Fabric
  • Experience creating strategies to migrate customers from on-premise environments to Azure
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