Senior Consultant - Data Architecture & Engineering (GDC) - WFH

TASQ is looking for a Senior Consultant - Data Architecture & Engineering (GDC) to work on a remote setup from 5pm to 2am.

Detailed Required Skills:

At least 4 years of relevant experience

Python & SQL Scripting

SQL, PySpark
General Cloud Architecture competency skillset: capable of taking requirements and building out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications:
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS $3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS

JobHighlights:

Leadership OpportunitiesThis 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 leadershipall 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 PartnershipsOur 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 bonuses, and other remuneration. Great working environment and company culture with a 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, and 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, and 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

Originally posted on Himalayas