As a Data Engineer at Akraya, you will be responsible for building and maintaining robust data pipelines on Google Cloud Platform to support crucial supply chain analytics and AI initiatives. Your primary focus will be on designing, developing, and optimizing cloud-native data solutions, transforming raw data into reliable assets for business insights.
Akraya is an award-winning IT staffing firm recognized for its commitment to excellence and a thriving work environment. As a talent solutions provider for Fortune 100 Organizations, Akraya has solidified its leadership position in the IT staffing space. With numerous industry recognitions, including Stevie Employer of the Year 2025 and Glassdoor's Best Places to Work (2023 & 2022), Akraya connects professionals with great jobs and inspiring workplaces.
Why required: To design, develop, and optimize cloud-native data solutions, transforming raw data into reliable assets for business insights.
How recruiters evaluate: The recruiter will evaluate your experience with Google Cloud Platform, specifically your ability to build and maintain robust data pipelines.
Why required: To optimize data processing and develop data models for analytics and AI.
How recruiters evaluate: The recruiter will assess your proficiency in BigQuery, including your ability to write efficient SQL queries and manage large datasets.
Why required: To design and deploy ETL/ELT data pipelines and develop data models for analytics and AI.
How recruiters evaluate: The recruiter will evaluate your SQL skills, including your ability to write efficient queries and manage database schema.
Why required: To transform data from various enterprise sources and develop data models for analytics and AI.
How recruiters evaluate: The recruiter will assess your experience with dbt, specifically your ability to transform data and manage data models.
Why required: To optimize data processing and develop data models for analytics and AI.
How recruiters evaluate: The recruiter will evaluate your experience with Dataproc, specifically your ability to optimize data processing and manage large datasets.
Freshers with a degree in Computer Science or related fields and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
Experienced professionals with 1-3 years of experience in data engineering and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
Graduates with a degree in Computer Science or related fields and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
B.Tech graduates with a degree in Computer Science or related fields and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
MCA graduates with a degree in Computer Science or related fields and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
Diploma holders with experience in data engineering and experience with Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc can apply.
The average salary for a Data Engineer in India is around ₹1,200,000 - ₹2,000,000 per annum.
Freshers can expect a salary range of ₹600,000 - ₹1,000,000 per annum.
Experienced professionals can expect a salary range of ₹1,200,000 - ₹2,500,000 per annum.
The salary range may vary based on the company, location, and experience. Akraya offers a competitive salary package and benefits.
With 3-5 years of experience, you can move to a senior data engineer role, leading data engineering teams and developing complex data solutions.
With 5-7 years of experience, you can move to a data architect role, designing and implementing data management strategies for organizations.
With 7-10 years of experience, you can move to a technical lead role, leading technical teams and developing technical strategies for organizations.
To develop skills in Google Cloud Platform and data engineering
To develop skills in BigQuery and data modeling
To develop skills in SQL and data modeling
To succeed as a Data Engineer, focus on developing your skills in Google Cloud Platform, BigQuery, SQL, dbt, and Dataproc. Stay up-to-date with the latest developments in data engineering and collaborate with cross-functional teams to deliver high-quality data products.
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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.
Key Responsibilities:
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!
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