Data Engineer I
Company: Disability Solutions
Location: San Francisco
Posted on: October 5, 2024
Job Description:
The Onyx Research Data Tech organization is GSK's Research data
ecosystem which has the capability to bring together, analyze, and
power the exploration of data at scale. We partner with scientists
across GSK to define and understand their challenges and develop
tailored solutions that meet their needs. The goal is to ensure
scientists have the right data and insights when they need it to
give them a better starting point for and accelerate medical
discovery. Ultimately, this helps us get ahead of disease in more
predictive and powerful ways.Onyx is a full-stack shop consisting
of product and portfolio leadership, data engineering,
infrastructure and DevOps, data / metadata / knowledge platforms,
and AI/ML and analysis platforms, all geared toward:
- Building a next-generation, metadata- and automation-driven
data experience for GSK's scientists, engineers, and
decision-makers, increasing productivity and reducing time spent on
"data mechanics"
- Providing best-in-class AI/ML and data analysis environments to
accelerate our predictive capabilities and attract top-tier
talent
- Aggressively engineering our data at scale, as one unified
asset, to unlock the value of our unique collection of data and
predictions in real-timeData Engineering is responsible for the
design, delivery, support, and maintenance of industrialized
automated end to end data services and pipelines. They apply
standardized data models and mapping to ensure data is accessible
for end users in end-to-end user tools through use of APIs. They
define and embed best practices and ensure compliance with Quality
Management practices and alignment to automated data governance.
They also acquire and process internal and external, structure and
unstructured data in line with Product requirements.A Data Engineer
I is a technical contributor who can take a well-defined
specification for a function, pipeline, service, or other sort of
component, and a technical approach to building it, and deliver it
at a high level. They are aware of, and adhere to, best practice
for software development in general (and data engineering in
particular), including code quality, documentation, DevOps
practices, and testing. They ensure robustness of our services and
serve as an escalation point in the operation of existing services,
pipelines, and workflows.A Data Engineer I should have awareness of
the most common tools (languages, libraries, etc) in the data
space, such as Spark, Kafka, Storm, etc. They should be constantly
seeking feedback and guidance to further develop their technical
skills and expertise, and should take feedback well from all
sources in the name of development.Key responsibilities for the
Data Engineer I include:
- Builds modular code / libraries / services / etc using modern
data engineering tools (Python/Spark, Kafka, Storm, ...) and
orchestration tools (e.g. Google Workflow, Airflow Composer)
- Produces well-engineered software, including appropriate
automated test suites and technical documentation
- Ensure consistent application of platform abstractions to
ensure quality and consistency with respect to logging and
lineage
- Adhere to QMS framework and CI/CD best practices
- Provide L3 support to existing tools / pipelines / servicesWhy
you?Basic Qualifications:We are looking for professionals with
these required skills to achieve our goals:
- Bachelors degree +2 years of data engineering experience.
- Cloud experience (e.g., AWS, Google Cloud, Azure,
Kubernetes)
- Experience in automated testing and design
- Experience with DevOps-forward ways of working
- Experience with at least one common programming language: e.g.,
Python, Scala, Java etc.
- Experience with data modelling, database concepts and
SQLPreferred Qualifications:If you have the following
characteristics, it would be a plus:
- Familiarity with orchestrating tooling
- Knowledge and use toolchains for documentation, testing, and
operations / observability
- Cloud experience (e.g., AWS, Google Cloud, Azure,
Kubernetes)
- Application experience of CI/CD implementations using git and a
common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure
DevOps)
- Exposure to common tools and techniques for data engineering
(e.g. Spark, Kafka, Storm, ...)
- Knowledge of data modelling, database concepts and SQL#GSKOnyx,
#LI-GSK and #GSKTech1The annual base salary for new hires in this
position ranges from $98,600 to $133,400 taking into account a
number of factors including work location within the US market, the
candidate's skills, experience, education level and the market rate
for the role. In addition, this position offers an annual bonus and
eligibility to participate in our share based long term incentive
program which is dependent on the level of the role. Available
benefits include health care and other insurance benefits (for
employee and family), retirement benefits, paid holidays, vacation,
and paid caregiver/parental and medical leave.Please visit GSK US
Benefits Summary to learn more about the comprehensive benefits
program GSK offers US employees. Why GSK? Uniting science,
technology and talent to get ahead of disease together. GSK is a
global biopharma company with a special purpose - to unite science,
technology and talent to get ahead of disease together - so we can
positively impact the health of billions of people and deliver
stronger, more sustainable shareholder returns - as an organisation
where people can thrive. We prevent and treat disease with
vaccines, specialty and general medicines. We focus on the science
of the immune system and the use of new platform and data
technologies, investing in four core therapeutic areas (infectious
diseases, HIV, respiratory/ immunology and oncology).Our success
absolutely depends on our people. While getting ahead of disease
together is about our ambition for patients and shareholders, it's
also about making GSK a place where people can thrive. We want GSK
to be a place where people feel inspired, encouraged and challenged
to be the best they can be. A place where they can be themselves -
feeling welcome, valued, and included. Where they can keep growing
and look after their wellbeing. So, if you share our ambition, join
us at this exciting moment in our journey to get Ahead Together.If
you require an accommodation or other assistance to apply for a job
at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US
Toll Free) or +1 801 567 5155 (outside US).GSK is an Equal
Opportunity Employer and, in the US, we adhere to Affirmative
Action principles. This ensures that all qualified applicants will
receive equal consideration for employment without regard to race,
color, national origin, religion, sex, pregnancy, marital status,
sexual orientation, gender identity/expression, age, disability,
genetic information, military service, covered/protected veteran
status or any other federal, state or local protected
class.Important notice to Employment businesses/ AgenciesGSK does
not accept referrals from employment businesses and/or employment
agencies in respect of the vacancies posted on this site. All
employment businesses/agencies are required to contact GSK's
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any fees arising from any referrals by employment
businesses/agencies in respect of the vacancies posted on this
site.Please note that if you are a US Licensed Healthcare
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information, please visit GSK's Transparency Reporting For the
Record site.
Keywords: Disability Solutions, San Mateo , Data Engineer I, Engineering , San Francisco, California
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