Overview
Hybrid
$60 - $80
Contract - W2
Skills
Azure
Data Engineer
Databricks
ADF
Job Details
Azure Data Engineer (w2 only)
Location: Princeton, NJ (Hybrid) Princeton 3 days a week
Experience level: Mid-senior
Education level: Bachelor s degree
Job function: Information Technology
Role : Data Engineer
Location: Princeton 3 days a week
Technical Skills:
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
Azure SQL, MongoDB, PySpark
Experience Required:
Data Engineering
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.
- 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
- Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
- Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
- Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
- Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.
Team skills
- Team builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle (SDLC) and Proficient in technical writing.
- Experience in Agile software development and SCRUM methodology.
- Ability to work independently and as part of a team to accomplish critical business objectives as well as good decision-making skills under high pressure complex scenarios
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