Data Engineer at Akraya — Career Guide & How to Apply | CampusToCareer

🏢 About Akraya

Akraya is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Akraya are integrated into production teams with structured onboarding and mentorship.

Job Details & Requirements

Verified Employer Listing

Job Description

About the job

Primary Skills: Google Cloud Platform (advanced), BigQuery (advanced), SQL (advanced), dbt (intermediate), Dataproc (intermediate)

Contract Type: Contract

Duration: 16+ Months (With Possible Extension & Conversion)

Location: Karnataka, India. Remote

Shift Timings: General Shift (IST)

#LP

Job Summary: This role involves building and maintaining robust data pipelines on Google Cloud Platform to support crucial supply chain analytics and AI initiatives. You will design, develop, and optimize cloud-native data solutions, transforming raw data into reliable assets for business insights. Collaboration with cross-functional teams will be essential to understand requirements and deliver high-quality data products.

🎯 What Success Looks Like in This Role

Design and deploy ETL/ELT data pipelines on GCP.

Optimize data processing using Dataproc, BigQuery, and dbt.

Develop and manage data models for analytics and AI.

Ingest and transform data from various enterprise sources.

Collaborate with stakeholders to define and implement data solutions.

Must-Have Skills:

Experience with Google Cloud Platform

Proficiency in SQL and BigQuery

Experience with dbt for data transformation

Industry Experience: Experience with retail, supply chain, transportation, or warehouse management systems is highly desirable.

ABOUT AKRAYA

Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!

Industry Leaders in Tech Staffing

As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!

Join Akraya Today!

Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Recommended Technical Skills

Google Cloud PlatformBigQuerySQLdbtDataproc

🎓 Preparation & Hiring Insights

Verified Insights

💰 Salary Insights (India)

Industry Range

The average salary for a Data Engineer in India is around ₹1,200,000 - ₹2,000,000 per annum.

Freshers

Freshers can expect a salary range of ₹600,000 - ₹1,000,000 per annum.

Experienced

Experienced professionals can expect a salary range of ₹1,200,000 - ₹2,500,000 per annum.

⚡ Selection Rounds

Round 1: Initial screening of resumes and cover letters to shortlist candidates.

Round 2: Technical interview to assess the candidate's skills and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc.

Round 3: Final interview with the hiring manager to discuss the candidate's fit with the company culture and expectations.

💡 Top Interview Questions to Prepare

What is your experience with Google Cloud Platform?
How do you optimize data processing using Dataproc and BigQuery?
Can you explain your experience with dbt for data transformation?
How do you manage large datasets in BigQuery?
Can you describe your experience with data engineering?

Frequently Asked Questions

What is the salary range for this role?

The salary range for this role is not disclosed, but the average salary for a Data Engineer in India is around ₹1,200,000 - ₹2,000,000 per annum.

What are the key responsibilities of this role?

The key responsibilities of this role include designing and deploying ETL/ELT data pipelines, optimizing data processing, developing and managing data models, and collaborating with cross-functional teams.

What skills are required for this role?

The required skills for this role include Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc.

CampusToCareer Candidate Guide

⭐ Original Analysis

✓ Suitable For

✓ Business graduates
✓ Engineering students
✓ Students interested in consulting or analytics

✗ Not Ideal If

✗ Looking strictly for software development/coding roles
✗ Uncomfortable with stakeholder presentations

Data Engineer