Databricks Engineer

Overview

On Site
$40 - $50 hr
Contract - Independent
Contract - W2

Skills

DATABRICKS ENGINEER

Job Details

Danta Technologies is currently hiring a Databricks Engineer. This position is located in San Francisco, CA, and this position requires On-site. I'd like you to go through the job description for your reference. If you are interested, please apply here.

Role: Databricks Engineer - Mid-level
Location: Onsite - San Francisco, CA
Pay Rate - $40/hr - $50/hr on W2 All Inclusive Danta Technologies payroll
Duration: Contract 6+ months and possibility for extension - This duration is subject to changes based on the project's requirement and/or the client's sole discretion.
Client: Tech Industry

The client is looking for a Databricks Engineer who:

  • Has strong hands-on experience with Azure-based data engineering tools, especially Azure Databricks, Azure Data Factory (ADF), and Azure Synapse.

  • Can build ETL pipelines, integrate data from various sources, and optimize big data workflows on Azure.

  • Has strong SQL and relational database skills.

  • Can work onsite in San Francisco and collaborate with both technical teams and clients (strong communication skills are important).

  • Ideally, has experience with Python/Spark and is familiar with agile methodologies.


Job Description:
As a Databricks Engineer, you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your expertise in Azure technologies to drive impactful projects that align with the company's strategic objectives. Your work will significantly contribute to enhancing data-driven decision-making and operational efficiency across diverse business units.

DETAILED RESPONSIBILITIES:

  • Design and develop software solutions to implement innovative features and support existing applications.
  • Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory.
  • Construct robust Azure Data Factory (ADF) pipelines to facilitate efficient data ingestion and transformation processes.
  • Collaborate with the technical team to provide design and coding support, ensuring project deliverables are met.
  • Engage with clients to gather and interpret business requirements, translating them into actionable solutions.

SKILL REQUIREMENTS:

  • Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS).
  • Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure Storage/Data Lake.
  • Experience with ETL processes and strong analytical skills for report development.
  • Proficiency in relational databases and SQL language.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.

OTHER REQUIREMENTS (OPTIONAL):

  • Experience with Python scripting and Spark APIs is highly desirable.
  • Previous experience in a client-facing role will be advantageous.
  • Familiarity with agile development methodologies and practices.



Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.