Senior Data Engineer
Robert Half Los Angeles
We are in search of a Senior Data Engineer to join our team located in Los Angeles, California. This role is primarily focused on designing data science programs, machine learning models, and architecture to support Generative AI. You will be expected to lead a team of data scientists, machine learning engineers, and Architects.
This role is based in a hybrid workplace.
Responsibilities- Lead the full data life cycle, including collecting, extracting, and cleaning data.
- Independently manage projects and ensure timely delivery.
- Implement Realtime streaming architecture (prior experience is a bonus).
- Develop reports and data visualization using BI tools such as Tableau, Looker, Power BI, etc.
- Support the organization in understanding user needs and pain points and propose roles that data science can play to address these.
- Drive data-informed decision-making throughout the organization and be a thought leader to promote adoption and knowledge at all levels.
- Design and build ETL pipelines and tables with complex cloud-based systems.
- Develop relationships with key stakeholders to deliver against critical expectations for multiple priorities.
- Utilize Python for various tasks and processes.
- Implement and manage cloud technologies, data visualization, algorithm implementation, analytics, API development, ETL - Extract Transform Load, SQL, and SaaS.
For immediate consideration, apply now and direct message Reid Gormly on LinkedIN
Top Requirements- Must possess a minimum of 5 years of experience in a similar role as a Data Engineer or related field.
- Proficient in cloud technologies, with a focus on data storage and computing.
- Expertise in data visualization and the ability to convert complex data into a more understandable format.
- Experience in algorithm implementation, with the ability to design, analyze, and implement computer algorithms.
- Proven experience in analytics, including data exploration, modeling, and hypothesis testing.
- Knowledge and experience in API development, enabling the interaction between different software intermediaries.
- Proficiency in Python language, with the ability to write functional and efficient code.
- Familiarity with ETL (Extract Transform Load) processes, with the ability to extract data from different sources, transform it to fit business needs, and load it into end systems.
- Proficient in SQL, with the ability to write and optimize SQL statements.
- Experience with SaaS (Software as a Service) platforms, understanding their architecture and how they can be used in data engineering.
- Degree in Computer Science, Engineering, or a related field is preferred.
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