866-Senior Data Engineer

This position requires•Clear Background, Drug Test, and Education Check. Must be authorized to work in the US for any employer without Sponsorship. (Principal Only! No Corp to Corp )•

Position Title:

866-

Senior Data Engineer Location:

Los Angeles, CA Pay Rate:

$65-90

Contract Duration:

1 year contract

OT Pay Rate:

Straight Time Pay Rate (Exempt)

Estimated Regular Hours/Week:

40.00•Onsite position On-site (8:00am to 4:30pm) and Livescan screening is required

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.

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, 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.

Education Required:

Bachelor's degree in computer science or IT-related field. We encourage Minorities, Women, Protected Veterans and Disabled individuals to apply for all positions that they may be qualified for. We maintain a drug-free workplace and perform pre-employment substance abuse testing and background checks If you are interested in this position, please submit your resume in a Word Document with the month and year that you have worked at each previous position to•hemalatha@norlandgroup.

com and copy:

866-Senior Data Engineer to the email Subject Line. Or click this email link and attach your resume in a MS Word Document format