MEDTEK DOT AI
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Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.
Summary
This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.
Essential/Primary Duties, Functions and Responsibilities
The essential duties and responsibilities of this position are as follows:
- Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
- Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
- Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
- Create and maintain optimal AWS data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements
- A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
- Experience with data lake and/or data warehouse implementation is required
- Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
- Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
- Experience with AWS based S3, Lambda, Step functions.
- Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
- Solid analytical and technical skill and the ability to exchange innovative ideas
- Quick learner and passionate about continuously developing your skills and knowledge
- Ability to solve problems by using AWS in data acquisitions
- Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution
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At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
Whether you’re scaling an existing product, building from scratch, or optimizing manual processes, we help you move faster with confidence:
- Scale and modernize your product
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Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
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