Hi,

 

Position 1:

 

Role: Data Architect / Modeler

Location: Cary, NC

 

Must have: Design and model EDW, Develop ETL, MSBI, Azure data lake, Azure
Cosmos DB and Hadoop

 

Experience and knowledge of Big Data Analytics in the cloud and on prem
environments
- Proven track record of working in enterprise data management systems,
especially ETL and EDW. 
- Strong experience in data modeling - logical model, physical dimensional
model for enterprise datawarehouse.
- Strong experience in Azure Cosmos DB, Azure SQL Datawarehouse, SQL DB
- Must have hands on experience with Big Data Technologies such as Hadoop,
NoSQL Databases, ETL/ELT, Azure Data Lake & BI Tools. 
- Hands-on experience with Azure Big Data stack - SSIS,ADF, EventHub, ADB,
SQL DW, Stream Analytics, Azure Cosmos DB, SQL Datawarehouse. Architect,
Design and maintain high performing ELT/ETL processes. 
- Utilizes framework driven approach to ELT development to deliver scalable
and reusable solutions. 
- Experienced across all phases of data modeling, from conceptualization to
database optimization to build the solution in Azure SQL Datawarehouse.
- Architect and design how to assess the performance of data solutions, how
to diagnose performance problems, and tools used to monitor and tune
performance.

 

Position 2:

Data Engineer

Location: Cary, NC

 

Must have: MSBI, Data Warehouse, Azure data factory, Azure SQL, and Azure
Cosmos DB

 

7+ years' experience
- Experience in Cloud platform Azure eco-system. 
- Experience with Microsoft/Azure ETL solutions like SSIS, Data Factory and
business Intelligence technologies like SSAS, SSRS.
- Strong Data Engineering/Development experience with SQL (Oracle, SQL
Server, MySQL) 
- Strong experience in development background creating pipelines and complex
data transformations and manipulations.
- Strong understanding of dimensional data model and ETL for Type1 and Type2
dimensions and facts.
- Experience in NoSQL Databases and Big data technologies including Hadoop,
MongoDB, Azure CosmosDB, Cassandra 
- Worked on real-time data capture, processing and storing using
technologies Azure Event Hubs and Stream Analytics 
- Experience working with different data storage options including AWS S3,
Azure BLOB storage etc. 
- Understanding of different data formats including Parquet, Avro, CSV, ORC
etc. 
- Prior experience with data warehousing and analytics solutions and
maintains large amount of data processing

 

 

Thanks and Regards,

Shawn Brown

New York Technology Partners - Rochester
332 Jefferson Rd
Rochester, NY 14623
T:  201-680-0200 x 7030

F:  201-474-8533 
 <mailto:sh...@nytpartners.com> sh...@nytpartners.com

 <http://www.nytpartners.com/> www.nytpartners.com

 



 

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