Data Engineer II
Posted Date: Jan 16 2024
The Onyx Research Data Platform organization represents a major investment by GSK RD and Digital Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines. We are 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 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 to unlock the value of our combined data assets and predictions in real-time
Data 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 the 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, structured and unstructured data in line with Product requirements.
A Data Engineer II is a technical contributor who can take a well-defined specification for a function, pipeline, service, or other sort of component, devise a technical solution, and deliver it at a high level. They have a strong focus on the operability of their tools and services, and develop, measure, and monitor key metrics for their work to seek opportunities to improve those metrics. They are aware of, and adhere to, best practices for software development in general (and data engineering in particular), including code quality, documentation, DevOps practices, and testing. They ensure the robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.
A Data Engineer II should be deeply familiar with the most common tools (languages, libraries, etc) in the data space, such as Spark, Kafka, Storm, etc., and aware of the open-source communities that revolve around these tools. 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 Senior Data Engineer 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
Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards
Adhere to QMS framework and CI/CD best practices
Provide L3 support to existing tools / pipelines / services
We are looking for professionals with these required skills to achieve our goals:
4+ years of data engineering experience with a Bachelors degree.
2+ years of data engineering experience with a PhD or a Masters degree.
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
Experience in automated testing and design
Experience with DevOps-forward ways of working
If you have the following characteristics, it would be a plus:
Software engineering experience
Demonstratable experience overcoming high volume, high compute challenges
Familiarity with orchestrating tooling
Knowledge and use of at least one common programming language: e.g., Python (preferred), Scala, Java, including toolchains for documentation, testing, and operations / observability
Strong experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, …)
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)
Experience with agile software development environments using Jira and Confluence
Demonstrated experience with common tools and techniques for data engineering (e.g. Spark, Kafka, Storm, …)
Knowledge of data modeling, database concepts, and SQL
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigour and risk
- Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
- Implementing change initiatives and leading change.
- Sustaining energy and well-being, building resilience in teams.
- Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
- Developing people and building a talent pipeline.
- Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
- Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
- Budgeting and forecasting, commercial and financial acumen.
#GSKOnyxThe annual base salary for new hires in this position ranges from $130,050 to $175,950 taking into account a number of factors including work location, 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.
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