Dates to Consider:

Detailed Eligibility:

Educational Qualification:

Graduation: BE/B.Tech/MCA; ME/MTech not eligible

Passing year: 2022

No active Backlogs

Compensation:

Mumbai/Bangalore: 6.5L (Fixed) + 2L (QCDP bonus) = 8.5L | INR 23,000 (During 4 month internship)

Trivandrum: 4L (Fixed) + 1L (QCDP bonus) = 5L | INR 20,000 (During 4 month internship)

Data Engineer 

Requirements:

Strong SQL writing skills

Strong knowledge of Data Warehouse and ETL concepts

Familiarity with Kimball and Inmon Data Warehouse methodology

Understand project-specific requirements, standards, guidelines, and processes

Demonstrated success working in a team-based environment

Good written/oral communication skills

Strong analytical and problem-solving skills

Responsibilities:

Work with business users and other stakeholders to understand business

Ability to understand, design, and implement Dimensions and Fact tables

Identify and implement data transformation/cleansing requirements

Profile source data to check data quality and develop Data Pipelines to implement ETL logic

Create and execute test plans, debug existing Data Pipelines

Create data visualizations

Write SQL code – Queries/Stored Procedures/Functions

Platform Engineer:

Requirements:

Strong fundamentals in object-oriented design, data structures, algorithms, complexity analysis distributed computing and operating systems, etc.

Proficiency in, at least, one modern programming language such as Java, C, C++, C#, or Perl

Experience in Scripting languages like Bash/shell scripting

Understand project-specific requirements, standards, guidelines, and processes

Demonstrated success working in a team-based environment

Good written/oral communication skills

Strong analytical and problem-solving skills

Responsibilities:

Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.

Design and develop scripts to build and deploy services using automated tools with a focus on developing hooks for operations and monitoring support.

Provide guidance to the team to implement services and systems that are highly available, scalable, and self-recoverable on cloud platforms.

Design and deploy metrics, monitoring, and logging systems to understand the system performance and isolate bottlenecks.

Introduce new cloud technologies, tools & processes to keep innovating in the commerce area to drive greater business value

Note: Shortlisted candidates will be updated on details of virtual assessments and interviews.

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