

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10 years of experience, offering a 6-month contract in NJ. Pay rate is competitive. Key skills include Microsoft BI/Azure BI solutions, Azure Data Factory, and data warehouse development. Hybrid work model: 3 days a week.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
July 5, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
New Jersey, United States
-
π§ - Skills detailed
#Normalization #SQL (Structured Query Language) #Databricks #MongoDB #PySpark #Azure SQL #Data Warehouse #Azure Data Factory #Databases #Automation #Azure Stream Analytics #Data Extraction #BI (Business Intelligence) #SSRS (SQL Server Reporting Services) #SQL Server #ADF (Azure Data Factory) #SSIS (SQL Server Integration Services) #Azure Databricks #Data Engineering #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #ADLS (Azure Data Lake Storage) #SSAS (SQL Server Analysis Services) #Data Mining #Azure Event Hubs #Big Data #Data Lake #Azure Analysis Services #Microsoft Azure #Azure
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Location: NJ
Duration : 6 Months
Visa : Citizenβs & GCβs only
Experience : 10 years
Work Mode : Hybrid 3 days a week
Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Strong Understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and in moving the data from flat files and SQL Server using U-SQL jobs
β’ Expert in data warehouse development starting from inception to implementation and ongoing support, strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone, bronze, silver and gold layers of data
β’ Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
β’ Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
β’ Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
β’ Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.
Technical Skills:
Business Intelligence: Azure Data Factory (ADF), Azure Databricks, Azure Analysis Services (SSAS), Azure Data Lake Analytics, Azure Data Lake Store (ADLS), Azure Integration Runtime, Azure Event Hubs, Azure Stream Analytics, DBT
Database Technologies: Azure SQL, MongoDB, PySpark