Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from TalentBurst, Inc.
Job Title: Senior Data Engineer
Location: Los Angeles, CA (100% Onsite)
Duration: 12+ Months Contract (Extension highly possible)
Job Description:
Skills Required: Miscellaneous
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.
Experience Required:
Additional Experience Required:
- 7 years of applying Enterprise Architecture principles with at least 5 years in a lead capacity.
- 5 years of hands-on experience with Azure Data Factory, Azure Databricks, API implementation and management solution, and managing Azure resources.
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;
- Working 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: Miscellaneous/ Niche/ Other
Additional Education Required:
This classification requires the possession of a bachelor's degree in computer science or IT-related field.
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Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.
Source: TalentBurst, Inc. careers