Azure Data Engineer

  • Warren St, Jersey City, NJ 07302, USA
  • Contract

Company Description

Description:

BuzzClan is a business consulting company collaborating to provide Oracle software advisory services & implementation services. We are an Oracle-Gold Partner and due to our extensive relationship with Oracle, we are able to provide robust solutions to the customers. BuzzClan is committed to provide substantive business value on each and every client engagement. We do this through a combination of industry-specific business expertise, technical skills, proven project management methods and our “onsite – offsite – offshore” delivery model. We strive to work in partnership with our customers to build high-performance teams and create business solutions that will last.

When you join BuzzClan, you have the opportunity to be part of something special by making a meaningful difference in the lives of our customers. Their success is our success.

 

Job Description

Title - Azure Data Engineer

Location - USA-NJ-Warren

Duration - 12 months

Description -

Strong data analytic skills related to working with structured and unstructured datasets. · Strong knowledge of Data warehousing/ETL standards and best practices. · Experience working with Dimensional Data Model and data pipelines in relation with the same. · Advanced working SQL knowledge and experience working with OLAP databases like SQL Datawarehouse. · Experience with Microsoft Azure public cloud and preferably components : Azure Data Lake, Azure Data Factory, SQL Server (SQL DB, SQL DW). Experience working with Big data frameworks especially Spark, distributed processing. · Experience working with Databricks or other Hadoop distributions.

Qualifications

Hands on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python(PySpark)/Spark SQL. · Experience working with version control GitHub and CI/CD pipelines using Azure DevOps is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.