Data engineer [h1.location_city]

Job Title : Senior Data Engineer Job location : Los Angeles, CA (Onsite) Duration : 12+ month contract with possibility for extension Job Responsibilities : 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. Job Description : 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 : This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.