Sr Data Engineer, SDE, ADSC

Posted 2 Days Ago
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São Paulo
Senior level
Healthtech
The Role
As a Senior Data Engineer, you will design and develop data science applications, supporting clinical trials and improving risk management. You'll collaborate with teams to build solutions, mentor engineers, and enforce coding standards. Responsibilities include leading engineering efforts, driving innovation, and managing ELT processes with a strong focus on data governance and architecture.
Summary Generated by Built In

Job Description Summary

Senior Data Engineer

As a Senior Software Engineer, you will work with an enormous breadth of data to design and develop data science applications. Collaborating with business owners, subject matter experts, and go-to-market teams, you will build innovative solutions to support clinical trials, optimize their design and execution, and improve risk management. You will be involved in every stage of the product development lifecycle, working with data scientists to turn prototypes into well-abstracted reusable services, and build software to expose data science models to business users through responsive UIs. Supporting a culture of continuous improvement, you will also provide architectural guidance, shape coding standards, and mentor engineers and data scientists. The ideal candidate will be an innovative software engineer with a keen interest in exploring and adopting new technologies for continuous improvement. Additionally, they should possess extensive experience in data processing, coupled with a solid understanding of data modeling and governance principles.

Key Responsibilities:

  • Consistently deliver robust, high-quality, reliable engineering outcomes in cross-functional autonomous scrum teams.

  • Research current and emerging industry tools and techniques, sharing findings with colleagues.

  • Drive curiosity and innovation, establishing and enforcing standards.

  • Facilitate cross-team knowledge sharing.

  • Design and lead engineering efforts for building business applications.

  • Collaborate with engineers and leaders from other organizations inside the company.

  • Support product owners by understanding business requirements and helping the team break these into stories.

  • Lead cross-team exercises, including DevOps incident management bridges.

  • Lead documentation efforts for product architecture and security compliance.

  • Perform code reviews and provide constructive feedback for work submitted by other engineers.

  • Consistently apply SDLC processes.

  • Mentor interns, apprentices, and other engineers.

Additional Responsibilities:

  • Design and build systems to Extract, Load, and Transform data from various sources into organized information that can be easily consumed by data scientists for model-building (such as LLM), applications, and business analysts.

Required Skills:

  • Strong ELT experience.

  • Strong Python and data frame processing experience.

  • Strong Relational Database and SQL skills, with knowledge and experience of non-SQL databases.

  • Data modeling knowledge and experience.

  • Data warehouse knowledge and experience.

  • Data governance knowledge and experience.

Qualifications:

  • 5+ years of relevant collaborative software engineering experience.

  • 2+ years full-time engineering experience across at least two different companies.

  • Solid understanding of computer science fundamentals.

  • Expert familiarity with backend development (Python) or frontend development using a JavaScript framework such as React.js, with familiarity in both areas required.

  • Experience designing applications using a microservices architecture.

  • Knowledge of Kubernetes or another container orchestration platform.

  • Experience with relational databases.

  • Experience with data ingestion.

  • Experience with BI tools.

  • Experience building RESTful APIs.

  • Knowledge of Linux command line tools.

  • Demonstrated in-depth understanding of product development lifecycle.

  • Demonstrated aptitude for and interest in peer mentorship.

  • Good verbal and written communication skills.

  • Knowledge of Agile methodology and experience working in a collaborative Agile environment.

Preferred Qualifications:

  • Experience with data modeling.

  • Experience working with cloud platforms (AWS, Azure, Google Cloud, etc.).

  • Experience working with large volumes of complex data with workflow management tools like Airflow.

  • Experience with non-relational databases.

  • Knowledge of UX principles.

  • Experience with the clinical domain and regulated data.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

Top Skills

Airflow
AWS
Azure
GCP
JavaScript
Kubernetes
Python
React
SQL
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The Company
Bangalore, Karnataka
61,500 Employees
On-site Workplace
Year Founded: 2016

What We Do

IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.

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