Senior Data Engineer-/LOS ANGELES, CA (Hybrid)- 12 months Contract - Suncap Technology, Inc.
LOS ANGELES, CA
About the Job
Title:Senior Data Engineer
Location: LOS ANGELES, CA (Hybrid)
Duration;12+ months Contract
Skills Preferred :
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 Preferred :
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field.
Location: LOS ANGELES, CA (Hybrid)
Duration;12+ months Contract
Skills Preferred :
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 Preferred :
- 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.
- Preferred Terraform experience. Data Warehouse: Minimum of five (5) years of experience with data warehousing systems, OLAP/OLTP systems, and integration of BI tools
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field.
Source : Suncap Technology, Inc.