Bangalore, Karnataka, India
Information Technology
Full-Time
AstraZeneca India
Overview
Job Title: Senior Data Engineer
GCL: D1
Introduction to role
At AstraZeneca, we believe in more than just making life-changing medicines; we believe in a future where discovery is defined by bold, dynamic, and visionary individuals. As a Data Engineer with ML Ops, Data Engineering, and Cloud Dev Ops experience, you’ll be at the forefront of a revolution in drug discovery, harnessing the power of remarkable technology and advanced AI capabilities. Work collaboratively in our dynamic, globally distributed team to design and implement ML models on cloud-native platforms, accelerating scientific breakthroughs like never before.
Accountabilities
Architect of Solutions: Lead the design, development, and enhancement of scalable ML Ops/Data pipelines and Data Products on cloud-native platforms.
Technical Expertise: Demonstrate your expertise in Python, Pyspark, Docker, Kubernetes, and AWS ecosystems to deliver exceptional solutions.
Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges.
Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI.
Essential Skills/Experience
AstraZeneca is a place where your work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, and explore new solutions in a dynamic environment that values diversity and inclusivity.
Ready to make a difference? Apply now!
GCL: D1
Introduction to role
At AstraZeneca, we believe in more than just making life-changing medicines; we believe in a future where discovery is defined by bold, dynamic, and visionary individuals. As a Data Engineer with ML Ops, Data Engineering, and Cloud Dev Ops experience, you’ll be at the forefront of a revolution in drug discovery, harnessing the power of remarkable technology and advanced AI capabilities. Work collaboratively in our dynamic, globally distributed team to design and implement ML models on cloud-native platforms, accelerating scientific breakthroughs like never before.
Accountabilities
Architect of Solutions: Lead the design, development, and enhancement of scalable ML Ops/Data pipelines and Data Products on cloud-native platforms.
Technical Expertise: Demonstrate your expertise in Python, Pyspark, Docker, Kubernetes, and AWS ecosystems to deliver exceptional solutions.
Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges.
Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI.
Essential Skills/Experience
- A proactive mindset and enthusiasm for Agile environments.
- Strong hands-on experience with cloud providers and services.
- Experience in performance tuning SQL and ML Ops data pipelines.
- Extensive experience in troubleshooting data issues, analyzing end-to-end data pipelines, and working with users in resolving issues.
- Masterful debugging and testing skills to ensure excellence in execution.
- Inspiring communication abilities that elevate team collaboration.
- Experience of structured, semi-structured (XML, JSON), and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
- Production experience delivering CI/CD pipelines (Github, Jenkins, DataOps.Live).
- Cloud DevOps Engineer who can develop, test, and maintain CICD Pipeline using Terraform, cloud formation.
- Remain up to date with the latest technologies, like GenAI / AI platforms and FAIR scoring to improve outcomes.
AstraZeneca is a place where your work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, and explore new solutions in a dynamic environment that values diversity and inclusivity.
Ready to make a difference? Apply now!
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