Senior Consultant, Data Architecture & Engineering
New
T
TASQData architecture
Source API remote eligibility restrictions: United States, work on a remote setup from 5pm to 2amFull-TimeSenior
SalarySalary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration
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Job Details
- Experience
- At least 5 years of experience in the same field.
- Required Skills
- PythonSQLMicrosoft AzureRESTful APIsData modelingPySpark
Requirements
- Have at least 5 years of experience in the same field.
- Bring expertise designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
- Have experience with multiple full life-cycle data warehouse implementations.
- Understand data architectures required to support data integration processing.
- Have experience with data modeling technologies such as ER/Studio, ER/Win, or similar.
- Have experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, and Logic Apps.
- Have Python and SQL scripting skills, including SQL and PySpark.
- Have general cloud architecture competency and the ability to build data pipelines from requirements.
- Have API knowledge; ability to create APIs is preferred.
- Be able to learn, adopt, and apply new technologies quickly.
Responsibilities
- Design and implement logical and physical data models for cloud and hybrid data warehouse environments.
- Implement data architectures that support structured, semi-structured, and unstructured data.
- Build data pipelines from requirements and support data integration processing.
- Profile data and create source-to-target mappings.
- Provision and configure Azure data service resources.
- Provide technical guidance and mentorship to more junior team members.
- Contribute to technical decision-making and develop relationships with project, client, and company leadership.
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