Job Update

Data Engineer, Analytics Infrastructure

PhonePe

Published by Siddiq K on Mar 29, 2026 / Updated on Jun 7, 2026

Posted Date

Mar 29, 2026

Author

Siddiq K

Location

Bengaluru, Karnataka / India

Job Type

Full-time

Quick Links for This Job

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About This Role

PhonePe is hiring for Data Engineer, Analytics Infrastructure in Bengaluru, Karnataka / India. The opening is listed for 2+ years. Expected work includes: Develop scalable ETL pipelines using Spark and Hadoop. Candidates should be ready to discuss related project, internship, or previous work experience. The main eligibility point to check first is: Experience with big data technologies like Spark, Flink, or Hadoop. Useful focus areas before applying: Spark, Hadoop, SQL and Scala. Work mode is marked as office or company-decided.

Before You Apply

Before applying for Data Engineer, Analytics Infrastructure at PhonePe, update your resume around the exact role title and location. Check this eligibility point first: Experience with big data technologies like Spark, Flink, or Hadoop. Add one resume bullet or project example related to: Develop scalable ETL pipelines using Spark and Hadoop. Prepare to discuss Spark, Hadoop and SQL in simple interview language.

Source & Verification

Source

Official application page

Status

Active

Last Checked

Jun 7, 2026

Application Deadline

Not mentioned

Official Link

View source

Editor note: HiringsToday structured this PhonePe Data Engineer, Analytics Infrastructure listing on 2026-06-07 using the available job details. Please verify the apply link, eligibility, deadline, and company instructions before submitting your application.

Responsibilities

•
Develop scalable ETL pipelines using Spark and Hadoop.
This is the core delivery part of the job. Be ready to explain how you write, test, debug, and improve code in a practical project.
•
Optimize data processing jobs for performance and cost-efficiency.
This responsibility is part of the role's regular work. Prepare one example from your projects or previous experience that shows you can handle it.
•
Collaborate with data scientists to provide reliable and clean data for modeling.
This is about working with managers, engineers, and other teams without losing track of requirements and timelines.

Eligibility

Experience with big data technologies like Spark, Flink, or Hadoop
Experience requirements are usually reviewed through resume details and interview discussion.
Keep proof ready through your resume, certificates, marksheets, project links, or previous work details as applicable.
Proficiency in Scala, Java, or Python
This should be visible through projects, internships, coursework, or interview answers.
Keep proof ready through your resume, certificates, marksheets, project links, or previous work details as applicable.
Strong SQL skills and experience with data warehousing concepts
This should be visible through projects, internships, coursework, or interview answers.
Keep proof ready through your resume, certificates, marksheets, project links, or previous work details as applicable.

Required Skills

SparkHadoopSQLScalaCommunicationProblem solving

Salary & Benefits

Listed compensation for Data Engineer, Analytics Infrastructure: Competitive. Treat this as the published or collected range for the opening, and verify it again on the application page because companies may revise salary, stipend, joining bonus, or benefits during the hiring process.

Why Apply

PhonePe is worth considering if you are looking for Data Engineer, Analytics Infrastructure work in Bengaluru, Karnataka / India. The role matches candidates who match the listed skills who can show practical comfort with Spark, Hadoop and SQL. Apply only after checking the eligibility points, location, work mode, and application deadline on the source page.

Application Notes

Who should apply

-candidates who match the listed skills with the listed qualification
-Applicants with project or work exposure in Spark, Hadoop and SQL
-Candidates comfortable with the listed location: Bengaluru, Karnataka / India

Who may skip

-Candidates who do not meet this key requirement: Experience with big data technologies like Spark, Flink, or Hadoop.
-Applicants looking only for permanent remote work, unless the company confirms remote flexibility
-Anyone asked to pay money for registration, training, referral, or interview access

Expected selection process

Technical written test (Data and Coding focus)
Technical interview with the data engineering team
Hiring Manager and HR rounds

Documents to keep ready

-Updated resume
-Government ID or college ID
-Educational marksheets or certificates if requested
-Project links, GitHub profile, or portfolio if available

Preparation Tips

Revise Spark and Hadoop

Prepare short notes and one project example around Spark, Hadoop and SQL. Keep the explanation simple enough to discuss in an interview.

Before applying or before the first interview

Map your resume to the role

Highlight experience related to "Develop scalable ETL pipelines using Spark and Hadoop". If you are a fresher, use academic projects, internships, hackathons, or lab work.

Same day as application

Keep proof documents ready

Keep resume, marksheets, ID proof, certificates, portfolio links, and GitHub or LinkedIn profile ready if the company asks during screening.

Before submitting the form

How To Apply

1. Check eligibility
Review the qualification, batch, experience, location, and skill requirements for PhonePe before opening the application form.
5-10 minutes
2. Update resume
Keep the resume short and role-focused. Add matching projects, internships, tools, achievements, and contact details.
20-30 minutes
3. Apply through the listed link
Use the application link on this page and fill the form carefully. Do not pay money for job applications.
10-20 minutes
4. Save confirmation
Save the application confirmation, job ID, email receipt, or screenshot so you can track follow-up messages.
2-5 minutes

About PhonePe

PhonePe is the hiring organization listed for this opening. Based on the job details available here, the role is connected with Spark, Hadoop and SQL and is located in Bengaluru, Karnataka / India. Candidates should verify company details, office location, and application instructions on the source page before applying.

Headquarters

Not mentioned in this listing

India Presence

Bengaluru, Karnataka / India

Frequently Asked Questions

Who can apply for Data Engineer, Analytics Infrastructure at PhonePe?

Candidates should match the listed experience level (2+ years) and the qualification points shown in this job post. If your batch, degree, or skill set does not match, check the official application page before applying.

What is the job location for this opening?

The location listed for this opening is Bengaluru, Karnataka / India. If the role is remote, hybrid, or office-based, confirm the final work mode during application or interview.

What salary or stipend is mentioned?

The listed salary or stipend detail is: Competitive. Treat it as a reference and verify the final offer details with the recruiter or official listing.

What is the last date to apply?

The last date is not mentioned in the available job details. Apply early because job links can close without notice.

Is this job verified?