Data Architect

Job Description

As a Data Architect, you are required to:

• Design & develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures

• Build and analyze large, structured and unstructured databases based on scalable cloud infrastructures

• Develop prototypes and proof of concepts using multiple data-sources and big-data technologies

• Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way

• Design and develop scalable end-to-end data pipelines for batch and stream processing

• Regularly scan the Data Analytics landscape to stay up to date with latest technologies, techniques, tools and methods in this field

• Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain


Qualification: Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Engineering / Analytics is desirable.

Experience level: Minimum 8 years in software development with at least 2 - 3 years hands-on experience in the area of Big-data / Data Engineering.

Desired Knowledge & Experience:

• Strong Spark, Hadoop knowledge.

• Hands-on expertise in modern big data technologies such as Spark, Hadoop, MapReduce, Kafka, Hive, Presto and distributed databases (e.g. Teradata)

• Proficiency in using query languages such as SQL, Hive, Pig, etc.

• Experience with NoSQL databases such as MongoDB, Cassandra, HBase, etc.

• Experience in development of distributed architectures, using Web-based APIs and RESTful communication

• Sufficient knowledge of Programming languages like C#, Python and R.

• Knowledge of Cloud technologies and frameworks in Microsoft Azure environment is desirable

• Sound knowledge of software engineering processes and tools

• Knowledge & experience in Healthcare domain is preferred


Required Soft-skills & Other Capabilities:

• Excellent communication skills, in order to explain your work to people who don't understand the mechanics behind data analysis

• Great attention to detail and the ability to solve complex business problems

• Drive and the resilience to try new ideas, if the first ones don't work

• Good planning and organizational skills

• Collaborative approach to sharing ideas and finding solutions

• Ability to work independently and also in a global team environment.

Job ID: 187176

Organization: Siemens Healthineers

Company: Siemens Healthcare Private Limited

Experience Level: Mid-level Professional

Job Type: Full-time

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