LAcounty
12 months
Los Angeles, CA, 90012 onsite
50 - 60/hr w2
Job Description
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 : Strong Python and SQL skills, with knowledge of other 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
A minimum of seven (7) years of applying Enterprise Architecture principles, with at least five (5) years in a lead capacity. Additionally, the candidate must have a proven track record in the following areas: Cloud and Data Engineering: Minimum of five (5) years of hands-on experience with Azure Data Factory, Databricks, API management, and managing Azure resources. Demonstrated ability to automate Azure data resources using DataOps principles and tools. Data Modeling and Development: Minimum of five (5) years of experience developing data models and pipelines using Python. Data Platform: Minimum of five (5) years of experience working with Lakehouse platforms. DevOps and Infrastructure as Code: Minimum of three (5) years of experience in CI/CD pipelines and infrastructure automation using tools such as Terraform. Terraform experience. Data Warehouse: Minimum of five (5) years of experience with data warehousing systems, OLAP/OLTP systems, and integration of BI tools
Education Required
Education This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.
