Role: Senior Data Engineer
Location: Los Angeles CA
Is a Livescan Required for Position Yes
Additional 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. Infrastructure Deployment: GitHub version control CI/CD pipelines release management Terraform and YAML templates and script-based deployments.
Additional 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.
Additional Education Required:
- This classification requires the possession of a bachelors degree in an IT-related or Engineering fie
Trinus Corporation a leading provider of technology solutions and services with over 25 years of experience is a certified WBE/MBE/SBE/SDB firm accredited by WBENC NMSDC and SBA. Our mission is to shape the future of work by aligning the right mix of people process technology and innovation to efficiently meet our clients business objectives. At Trinus we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit. To learn more about us please visit our website
Role: Senior Data Engineer Location: Los Angeles CA Is a Livescan Required for Position Yes Additional 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 understandin...
Role: Senior Data Engineer
Location: Los Angeles CA
Is a Livescan Required for Position Yes
Additional 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. Infrastructure Deployment: GitHub version control CI/CD pipelines release management Terraform and YAML templates and script-based deployments.
Additional 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.
Additional Education Required:
- This classification requires the possession of a bachelors degree in an IT-related or Engineering fie
Trinus Corporation a leading provider of technology solutions and services with over 25 years of experience is a certified WBE/MBE/SBE/SDB firm accredited by WBENC NMSDC and SBA. Our mission is to shape the future of work by aligning the right mix of people process technology and innovation to efficiently meet our clients business objectives. At Trinus we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit. To learn more about us please visit our website
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