The Norland Group
Azure Data Engineer Onsite
The Norland Group, Los Angeles, California, United States, 90079
Job Description
Estimated Regular Hours/Week:
40.00 Onsite:
Yes Contract Duration:
18 months Skills Required:
Cloud Platforms:
Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, Power Apps, and Functions. Additionally, in-depth understanding and implementation of API management such as Apigee. Big Data Technologies:
Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals:
Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Programming Languages:
Strong Python and SQL skills, with knowledge of other languages like Scala or R beneficial. Data Warehousing and Business Intelligence:
Strong ERD concepts, designs, and patterns, understanding of OLAP/OLTP systems, performance tuning, Database Server concepts, and BI tools (Power BI, Tableau). Data Governance:
Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance. Deep understanding and implementation knowledge of audit and monitoring in Cloud. Experience Required:
Seven (7) years of applying Enterprise Architecture principles, with at least five (5) years in a lead capacity. Five (5) years of hands-on experience with Azure Data Factory, Azure Databricks, API implementation and management solution, and managing Azure resources. Five (5) years of experience in the following: developing data models and pipelines using Python; working with Lakehouse platforms; GitHub CI/CD pipelines and infrastructure automation, Terraform scripting; and with data warehousing systems, OLAP/OLTP systems, and integration of BI tools. Education Required:
This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional Information:
Onsite - Live scan required Company Description
The Norland Group has been in operation successfully since 1996. We are a strong believer of people management, professionalism, and accountability. We only make promises when we are certain we can fulfill them. Our business focuses on fulfilling the needs of commercial and government customers in administrative services, workforce mobilization, information technology, engineering, and project management services. Our Mission Statement:
Our main goal is to provide career advancement opportunities to our associates. We are committed to bringing our customers exceptional support services with the highest quality, integrity, and innovation. We believe that we are the stepping stone for our associates to advance their careers and to live a better life. Everyone should have a chance to live a successful and happy life. We operate our business based on those values and we choose employees who value the same principles.
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Estimated Regular Hours/Week:
40.00 Onsite:
Yes Contract Duration:
18 months Skills Required:
Cloud Platforms:
Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, Power Apps, and Functions. Additionally, in-depth understanding and implementation of API management such as Apigee. Big Data Technologies:
Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals:
Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Programming Languages:
Strong Python and SQL skills, with knowledge of other languages like Scala or R beneficial. Data Warehousing and Business Intelligence:
Strong ERD concepts, designs, and patterns, understanding of OLAP/OLTP systems, performance tuning, Database Server concepts, and BI tools (Power BI, Tableau). Data Governance:
Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance. Deep understanding and implementation knowledge of audit and monitoring in Cloud. Experience Required:
Seven (7) years of applying Enterprise Architecture principles, with at least five (5) years in a lead capacity. Five (5) years of hands-on experience with Azure Data Factory, Azure Databricks, API implementation and management solution, and managing Azure resources. Five (5) years of experience in the following: developing data models and pipelines using Python; working with Lakehouse platforms; GitHub CI/CD pipelines and infrastructure automation, Terraform scripting; and with data warehousing systems, OLAP/OLTP systems, and integration of BI tools. Education Required:
This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional Information:
Onsite - Live scan required Company Description
The Norland Group has been in operation successfully since 1996. We are a strong believer of people management, professionalism, and accountability. We only make promises when we are certain we can fulfill them. Our business focuses on fulfilling the needs of commercial and government customers in administrative services, workforce mobilization, information technology, engineering, and project management services. Our Mission Statement:
Our main goal is to provide career advancement opportunities to our associates. We are committed to bringing our customers exceptional support services with the highest quality, integrity, and innovation. We believe that we are the stepping stone for our associates to advance their careers and to live a better life. Everyone should have a chance to live a successful and happy life. We operate our business based on those values and we choose employees who value the same principles.
#J-18808-Ljbffr