About
WHAT THE CLIENT DOES? One of the leading implementation partners globally.
WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services.
Job Title -
Senior Data Engineer Duration - 12 Months Contract Location - Los Angeles, CA Pay Range -
$55-$60/hr on W2
HERE'S WHAT YOU'LL DO: 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 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 Education Required: This classification requires the possession of a bachelor's degree in an IT-related or Engineering field.
WHAT YOU'LL NEED TO WIN: Required Qualifications: 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.
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VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
Languages
- English
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