Job Description

Job Description

Expertise in Databricks (Spark, SQL, Delta Lake, notebooks, cluster optimization, and Unity Catalog).
Strong proficiency in PySpark and SQL for building high-performance ETL/ELT pipelines.
Hands-on experience building Power BI Dashboard and have experience implementing PBI best practices
Strong understanding of Azure data services (ADLS, ADF, Azure DevOps, Git-based CI/CD).
Proven ability to optimize data pipelines, data models, and Power BI datasets for scalability, performance, and governance.
Experience delivering end-to-end AI/ML projects, including model development, training, evaluation, and deployment

The pay range that the employer in good faith reasonably expects to pay for this position is $42.35/hour - $66.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.