Data Architect I

17 hours ago


Bangalore, India Philips Full time
Job TitleData Architect I

Job Description

Your role:

  • Designing and developing ETL (Java/ .Net)

  • Knowledge of Scripting (Python, R programming)

  • Adept at defining and implementing Data model definition for medium to complex systems

  • Optimizing data architecture for consumption, utilization, and analytics, including for data science, machine learning and statistical use cases.

  • Strong understanding of microservices architecture using containerization technologies like docker, Kubernetes.

  • Strong communication and problem-solving skills.

  • Ability to mentor other team members.

  • Prior experience in data analytics platform development and/or in MERN stack development will be preferred

  • Prior experience in development of applications on cloud and managing AWS Cloud based services will be preferred


You're the right fit if:

  • 10 years + exp in advanced SQL skills (Date-time manipulation, common table expressions, query optimization)

  • Knowledge of various database technologies, such as Microsoft SQL Server, MongoDB, PostgreSQL, Amazon DocumentDB  etc.

  • Knowledge of Scripting (Python, R programming)

  • Knowledge of enterprise systems like SAP PR1, MP1, MBP, ASP Vertica

  • Expert skills on Cloud(AWS, Azure) and Master data management processes

#LI-PHILIN
#LI-Onsite
#LI-EU
 

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
⢠Learn more about our business.
⢠Discover our rich and exciting history.
⢠Learn more about our purpose.

If youâre interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.


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