Enterprise Cloud Analytics Developer

1 Month ago • 5 Years +

Job Summary

Job Description

Develops applications for cloud environments using internal and external cloud providers. Develops and coordinates cloud architecture, including application development, identity and access management, and security. Defines DevSecOps solutions. Utilizes DevOps processes and automation, and expertise in cloud platforms such as AWS, Google Cloud, and Azure. This includes building and designing web services, orchestrating cloud platforms, and frontend development for various form factors, using HTML, JavaScript libraries, and responsive frameworks. The role requires developing ETL data pipelines and understanding complex SQL statements.
Must have:
  • Computer Science Engineering Graduate / Post Graduate
  • 5 years experience in ETL data pipelines (Azure, Data Bricks, etc.)
  • Ability to write and understand complex SQL statements
Good to have:
  • Hands on Power BI cloud development work
  • Knowledge of AI/ML, Gen AI concepts

Job Details

Job Details:

Job Description: 

Develops applications that work in and on industry or hybrid cloud environments using capabilities and frameworks from internal and external cloud providers. Develops and coordinates cloud architecture over various areas, including application development, identity and access management, network and data management, and security. Defines the initial DevSecOps solution and links it to the cloud platform. Utilizes DevOps processes, automation, culture, and target platforms. Leverages expertise in cloud platforms including Amazon Web Services, Google Cloud, Azure, building and designing web services in the cloud, orchestrating and automating cloudbased platforms, as well as frontend development of the user interface that typically run over various form factors including mobile and PC. Utilizes HTML, JavaScript libraries, responsive, and/or AWS frameworks.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • Computer Science Engineering Graduate / Post Graduate
  • 5 years hands on experience in developing ETL (extract, transform and load) data pipelines in Azure, Data Bricks, Data Factory, Snowflake
  • Can write and understand complex SQL statements on a Relational database

Preferred Qualifications:

  • Hands on Power BI cloud development work
  • Knowledge of AI/ML, Gen AI concepts
  • Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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