Principal Technical Engineer
As a principal technical engineer, you will have the opportunity to shape and drive the technical vision, and be responsible for designing, developing, and maintaining robust data-centric products and integration solutions. As a senior member of the development team, you will be expected to lead development efforts and coach/mentor more junior team members.
Core Responsibilities
1. Lead the design, development, and implementation of scalable and reliable data products and integration solutions, ensuring high performance, data quality, and security.
2. Collaborate with cross-functional teams including product managers, product owners, business analysts, and other engineers to gather requirements and define integration needs.
3. Provide technical leadership and guidance to a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
4. Architect and develop APIs, data pipelines, and ETL processes to enable seamless data integration and transformation across different systems and platforms.
5. Evaluate and select appropriate data integration tools, frameworks, and technologies, considering factors such as scalability, performance, and maintainability.
6. Perform thorough testing and debugging of integration solutions to identify and resolve issues, ensuring data accuracy and integrity.
7. Stay up-to-date with industry trends and advancements in data management, integration, and related technologies, and apply this knowledge to enhance existing systems and propose new solutions.
8. Conduct code reviews, provide constructive feedback, and mentor junior engineers to foster their technical growth and excellence.
9. Collaborate with stakeholders to understand business requirements and translate them into technical specifications for effective data management and integration solutions.
10. Drive the adoption of best practices and standards for data governance, data modeling, and integration processes.
11. Participate in continuous improvement initiatives and suggest improvements to Testing process and tools to help accelerate, simplify and reduce the cost of deployment.
12. Ensure compliance with Qinecsa internal policies and procedures, and with external data and security regulation.
Experience
Proven experience (8+ years) as a software or data engineer, with a focus on data management, integration, and related technologies. Extensive expertise in designing and developing data integration solutions including ETL frameworks, REST APIs, and messaging systems. Strong programming skills in languages such as Python and Java with expertise working with databases and SQL. In-depth knowledge of data management concepts, including data warehousing, data modeling, and data governance. Experience with cloud platforms and services (e.g., AWS preferred) for data storage, processing, and integration. Familiarity with big data technologies such as Spark or Kafka. Experience in setting up and working with continuous Data Integrity / Testing platforms. The following industry experience would be a strongly advantageous:
An understanding of software validation / GxP in regulatory environment and knowledge of key governing regulations such as 21 CFR Part 11. Experience in working with Pharmacovigilance data structures and standards, i.e. E2B, MedDRA, WHO Drug. Experience in working with major Signal Case Processing systems, e.g. ArisGlobal, Argus, Veeva.
Qualifications
Academic: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Professional qualifications in related software development disciplines and tools preferred.
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