Genpact Recruitment 2023: Hiring For Lead Consultant – Data Engineer

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Genpact Careers 2023 hiring freshers for the Lead Consultant – Data Engineer. This complete beginner’s guide will walk you through everything you need to know, from the recruitment off campus drive process to the required skills, responsibilities and selection process. Discover what it takes to land a rewarding role developing solutions on Genpact industry leading platforms.

About Genpact

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit . Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Genpact Recruitment

Job Role: Lead Consultant – Data Engineer

Qualification:  Bachelor’s / Graduation / Equivalent

Experience: Freshers

Batch: 2023 / 2022 / 2021 / 2020

Salary: up to ₹8.8 LPA

Job Location: Gurugram

Last Date: ASAP

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Job Description

 As a Data Engineer within the SAI Security Data Management team, you will be partnering with other team members to develop data automation and data pipelines, while also serving as a technical advisor. The Data Engineer primarily supports the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the organization. Data Engineers will also test for data quality to ensure Huntington’s data conforms to business rules and are accurate, complete, consistent, and uniform. The Data Engineer will play a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools.


Job Responsibilities

  • Architecting, creating, and maintaining data pipelines
  • Assist with renovating the data management infrastructure to drive automation in data integration and management
  • Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements
  • Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases
  • Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Provides leadership, coaching, and mentoring to team members and develop team to work with all areas of the organization
  • Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
  • Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
  • Coaches’ individuals through change and serves as a role model


Minimum Qualifications

  • Minimum related experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
  • Strong experience with various Data Management architectures and processes
  • Strong ability to design, build and manage data pipelines for data
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
  • Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative
  • Strategic, intellectually curious thinker with focus on outcomes
  • Experience in application development including Python, SQL, Pyspark, R, or Scala
  • Experience with AWS (EC2,EMR,ECS,Dockers,Lambda, S3,EFG,EFS,ALB etc.)
  • Experience in Snowflake
  • Experience in Data Warehousing
  • Experience in CI CD pipelines (Jenkins, Git repository etc.)
  • Experience working on real-time data and streaming applications
  • Experience with Agile engineering practices
  • Experience in working with both open-source and commercial message queuing technologies such as Kafka, JMS, Azure Service Bus, Amazon Simple queuing Service, and others
  • Experience with BI software tools like Tableau, Qlik, PowerBI and others

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Preferred Qualifications

  • Must have 60%/6.0 CGPA throughout Bachelor’s, 12th/PU and 10th Std.
  • Must have sound knowledge of English – Any knowledge of a foreign language is a bonus.

Selection Process

The Genpact selection process for Graduate Lead Consultant – Data Engineer off campus recruitment includes the following stages:

Online Application and Screening

Visit the Genpact Careers page and submit your application for the relevant job role along with your resume. The recruiting team screens all applications and shortlists candidates for the next round.

Online Assessment

Shortlisted applicants are invited to complete an online coding challenge or technical assessment to demonstrate relevant skills for the role they have applied for.

Technical Interviews

Candidates who successfully complete the assessments are scheduled for one or more technical discussions focused on computer science fundamentals, database concepts, system design etc.

HR Interview

Candidates who successfully clear the technical interviews appear for a human resources interview. The HR round evaluates your overall job fitment, strengths-weaknesses, salary expectations and organizational culture alignment.

Final Selection

Candidates who clear all the previous interview rounds are made a final job offer based on interview performance, profile match, and business requirements. The offer letter includes compensation details, job location and joining date.

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How to Apply For Genpact

If you are interested in the Genpact off campus drive 2023, here is the application process to follow:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, please create an account.
  4. After registration, log in and fill out the application form with all the required details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

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