Azure Data Engineer
Mindlance, New York, NY, United States
Role:
zure Data Engineer
Location: Washington, DC 20433
Duration: Long Term
Hybrid Onsite:
4 days per week from Day 1, with a full transition to 100% onsite anticipated soon
Job Overview:
We are looking for an experienced
Azure Data Engineer with strong Power BI expertise
to design, build, and optimize scalable data solutions. The ideal candidate should have deep knowledge of
data warehousing, lakehouse architecture , and hands-on experience with
Microsoft Fabric and OneLake , along with exposure to
AI/ML concepts .
Key Responsibilities:
Design and develop scalable
data pipelines
using Azure data services
Build and maintain
data warehouse and lakehouse architectures
Develop
interactive dashboards and reports using Power BI
Work with large-scale structured and unstructured datasets
Implement data integration solutions using
Azure Data Factory, Synapse Analytics
Collaborate with business teams to translate requirements into technical solutions
Optimize data models for performance and scalability
Ensure data quality, governance, and security best practices
Work with
Microsoft Fabric and OneLake
for unified data management
Support and integrate
AI/ML use cases
within data pipelines
Required Skills:
Strong experience with
Azure Data Services
(ADF, Synapse, Data Lake)
Hands-on experience in
Power BI (DAX, dashboards, data modeling)
Solid understanding of
Data Warehousing concepts
Experience with
Lakehouse architecture
Knowledge of
Microsoft Fabric and OneLake
Strong SQL and data transformation skills
Understanding of
AI/ML concepts and data integration
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
zure Data Engineer
Location: Washington, DC 20433
Duration: Long Term
Hybrid Onsite:
4 days per week from Day 1, with a full transition to 100% onsite anticipated soon
Job Overview:
We are looking for an experienced
Azure Data Engineer with strong Power BI expertise
to design, build, and optimize scalable data solutions. The ideal candidate should have deep knowledge of
data warehousing, lakehouse architecture , and hands-on experience with
Microsoft Fabric and OneLake , along with exposure to
AI/ML concepts .
Key Responsibilities:
Design and develop scalable
data pipelines
using Azure data services
Build and maintain
data warehouse and lakehouse architectures
Develop
interactive dashboards and reports using Power BI
Work with large-scale structured and unstructured datasets
Implement data integration solutions using
Azure Data Factory, Synapse Analytics
Collaborate with business teams to translate requirements into technical solutions
Optimize data models for performance and scalability
Ensure data quality, governance, and security best practices
Work with
Microsoft Fabric and OneLake
for unified data management
Support and integrate
AI/ML use cases
within data pipelines
Required Skills:
Strong experience with
Azure Data Services
(ADF, Synapse, Data Lake)
Hands-on experience in
Power BI (DAX, dashboards, data modeling)
Solid understanding of
Data Warehousing concepts
Experience with
Lakehouse architecture
Knowledge of
Microsoft Fabric and OneLake
Strong SQL and data transformation skills
Understanding of
AI/ML concepts and data integration
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."