Senior Principal Data Engineer

2 weeks ago

Bengaluru, Karnataka, India 14260 GSK India Global Services Private Limited Full time

About the Role:

The Senior Principal Data Engineer position at 14260 GSK India Global Services Private Limited is a senior technical role that provides the opportunity to lead key activities to progress your career. As a key member of the Development Tech team, you will contribute to the construction of the development data fabric and data strategy. This role will interact with architects, engineers, data modelers, product owners, and other team members in Development Tech and R&D. You will actively participate in creating technical solutions, designs, implementations, and participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.

Key Responsibilities:

  • Work with other teams that are defining devops and data platform practices to meet the requirements of clinical solutions.
  • Support engineering teams in the adoption and creation of data fabric best practices.
  • Conduct PoCs of new technologies and help embed them in product teams.
  • Be part of a cutting-edge team creating the Development Data Fabric.
  • Ensure that technical delivery is fully compliant with GSK Security, Quality, and Regulatory standards.
  • Ensure use of relevant R&D Tech / central services and collaborate with service partners in identification and delivery of service improvements.
  • Maintain best practices for engineering and architecture on our Confluence site. This requires hands-on experience with cutting-edge technology.
  • Pro-actively engage in experimentation and innovation to drive relentless improvement.
  • Provide leadership, technical direction, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.

Requirements:

  • Proficient with at least 3 of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies: Software development, architecture design & technology platforms/frameworks, Data Platforms and Domain-driven design, Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.], Data science (e.g. AI/ML), data analytics & data quality/integrity, Testing strategies & frameworks.
  • Role requires: Demonstrated skill in delivering high-quality engineered data products, Knowledge of industry standards and technology platforms aligned to GSK and R&D roadmaps, Excellent communication, negotiation, influencing, and stakeholder management skills, Customer focus and excellent problem-solving skills.
  • Computer Science or related bachelor's degree – MS in Computer Science is preferred with 16+ years of experience.
  • Familiarity and use of various open-source ecosystems including JavaScript, Bigdata, Java, Python, etc.
  • Good understanding of various software paradigms: domain-driven, procedural, data-driven, object-oriented, functional.
  • Familiar with .Net Core (C#), Java, Python.
  • Demonstrable knowledge depth in more than one area of software engineering and technology.

Preferred Qualifications:

  • Subject matter expertise in clinical development.
  • Experience in search technologies, including indexing, ontology, knowledge graph, query processing, annotation, and performance optimization.
  • Experience in agile software development and Micro-Services using Kubernetes and Docker.
  • R&D Tech requires Engineers with understanding of the relevant technical and scientific domains. Able to deliver continuous change to meet rapidly evolving R&D strategy and ambition.
  • Experience with agile development methods, with security strategies and best practices, data integration mechanisms, architectural design tools, delivering and integrating COTS applications, areas of Service Oriented Architecture (SOA), Application Integration, Business Process Management, and Data Quality.
  • Experience in applying AI/ML, data curation, virtualization, predictive modeling, workflow, and advanced visualization techniques to enable decision support across multiple products and assets to drive results across R&D business operations.

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