Senior Data Engineer

Role: Data Engineer

Location: Los Angeles, CA

Background Checks: Yes

Live Scan: Yes

Additional Skills Required

• 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 Experience

• 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, integration of BI tools and designing, developing, and deploying AI/ML and predictive analytics solutions using Databricks, Apache Spark, MLflow, Delta Lake, Python, and cloud platforms such as AWS or Azure.
• Proven ability to build and operationalize predictive models, Generative AI solutions, and enterprise-scale analytics pipelines to support forecasting, operational intelligence, and data-driven decision-making.

Additional Education: This classification requires the possession of a bachelor's degree in computer science or IT-related field.

Additional Information: Live Scan is required before engagement in the project.

Trinus Corporation, a leading provider of technology solutions and services with over 25 years of experience, is a certified WBE/MBE/SBE/SDB firm accredited by WBENC, NMSDC, and SBA.

Our mission is to shape the future of work by aligning the right mix of people, process, technology, and innovation to efficiently meet our clients' business objectives.

At Trinus, we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit.

To learn more about us, please visit our website www.trinus.com