Senior Data Engineer - TPI Global (formerly Tech Providers, Inc.)
Los Angeles, CA
About the Job
Job Title- Senior Data Engineer
Location- Los Angeles, CA 90012 (Onsite)
Duration- 6+ Months Contact
Skills Required:
Cloud Platforms:
- Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, power apps, and Functions.
- 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 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.
Education Required:
- This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.
Source : TPI Global (formerly Tech Providers, Inc.)