Company:        Siemens

Website:          www.siemens.com

Eligibility:       Any Graduate

Experience:     3 - 5 yrs

Location:         Bangalore

Job Role:       Cloud Engineer

JOB SUMMARY:

Company Profile:

Siemens is a global powerhouse focusing on the areas of electrification, automation and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis.

Job Description:
1. You will be Crafting and maintain efficient data pipeline architecture

2. You should Assemble large, complex data sets that meet functional / non-functional business requirements.

3. You will Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

4. You Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources using AWS big data technologies.

5. Build data Applications in cloud based eco-systems such as Amazon, Microsoft Azure.

6. Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader!

7. You will be working with data and analytics specialists to strive for greater functionality in our data systems.

Candidate Profile:
Qualification:
Any Graduate

Experience: 3 - 5 years of experience in operating a critical high-available IT Infrastructure

Required Skills:
1. You should be Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

2. Should have Strong analytic skills related to working with unstructured datasets.

3. Build processes supporting data transformation, data structures, metadata, dependency and workload management.

4. You Must have Certified in one of the cloud platforms such as Azure, AWS etc.

5. Should have Solid grasp of message queuing, stream processing, and highly scalable big data data stores.

6. Should be Experience supporting and working with multi-functional teams in a multifaceted environment.