Hire Data Engineers in India
Browse 331.0k+ verified data engineer profiles in India on Stackforce
Abhishek Suratiya
Lead Software Engineer
at Planify Capital Limited
Karan Chandra Dey
AI Product Consultant + Founder + Artist
at K28
Athulya Varma
Talent Acquisition Consultant
at Licious
Himanshu Khati
Mobile Lead
at WheelsEye
Sadat Mirza
Program Manager
at Uber
Srijita Mitra
Senior Executive Human Resources
at Eclick Softwares and Solutions Pvt Ltd
Ayan Shukla
Actuarial Consultant
at EXL
Ajit kumar
Associate Vice President - Data Analytics
at SG Analytics
Prince Baliyan
Management Information System Executive
at Medicon Group
Prashant Dugar
Head- Strategy and Operations
at Nirnayan Health Care
Isha Khadaria
Analyst - Programmatic
at WPP Media
Arun Kumar singh
Vice President-BI & Data Analytics
at Home Credit India
Faiz Faiz Shaikh
IT Specialist
at Ramdev Group
Nitin Thapliyal
Information Technology Specialist
at Family Tree Maker Support Us
Jyoti Mishra
Senior Talent Acquisition Partner
at Colt Technology Services
Ankur Joshi
Assistant Manager - Talent Acquisition
at Persistent Systems
RISHABH KUMAR
Project Manager Cybersecurity
at BreachLock, Inc.
Andrea Dias
Responsable Commercial
at MediCapillaire Hair Clinique
Shivam Rana
Founding Mobile Engineer
at RentOk
Francisco Arce
Oracle PL/SQL Developer and Oracle Apex Developer
at TeraCode
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Get Started FreeWhat Do Data Engineers Do?
Data engineers design, build, and maintain the data infrastructure that enables organizations to collect, store, transform, and analyze data at scale. They create ETL/ELT pipelines, data warehouses, data lakes, and streaming architectures that make data accessible and reliable for analysts, data scientists, and business stakeholders. Data engineers work with tools like Apache Spark, Airflow, Kafka, dbt, Snowflake, and BigQuery. They ensure data quality, implement data governance practices, and optimize query performance across large datasets. Companies hire data engineers as the foundation of their data strategy, building the infrastructure that powers dashboards, machine learning models, and data-driven decision making. Without strong data engineering, organizations cannot effectively leverage their data assets.
What to Look For
- Experience building ETL/ELT pipelines using tools like Airflow, dbt, or Spark
- Proficient with SQL and can optimize complex queries across large datasets
- Familiar with data warehouse design (star schema, slowly changing dimensions)
- Has worked with both batch and streaming data processing architectures
- Understands data quality testing, validation, and monitoring
- Experience with cloud data platforms (Snowflake, BigQuery, Redshift)
Red Flags to Watch
- Cannot write complex SQL joins or window functions
- No experience with data pipeline orchestration tools
- Unfamiliar with data modeling concepts or warehouse design patterns
- Has never dealt with data quality issues or implemented validation checks
- Cannot discuss the differences between batch and streaming processing
- No understanding of data governance or documentation practices
Market Insights — India
Tech Ecosystem
India is the world's largest IT services exporter and home to over 5 million software developers. Backed by NASSCOM and a thriving startup ecosystem valued at $450B+, the country produces more than 1.5 million engineering graduates every year.
Salary & Timezone
Average Salary Range
₹6L – ₹40L/year
Timezone
IST (UTC+5:30) — 9.5–10.5 hour overlap with US business hours depending on coast
Top Employers
Talent Pool Highlights
- 5M+ software developers — second-largest developer population globally
- 1.5M+ engineering graduates enter the workforce annually
- Deep expertise in full-stack, cloud, data engineering, and AI/ML
- Strong English proficiency across the tech workforce
What Hiring Managers Say
“We needed data engineers who could rebuild our pipeline to handle 100M+ events daily. Stackforce matched us with engineers experienced in Kafka and Spark. Our new data infrastructure processes events in near real-time.”
George L.
Head of Data Platform, AdTech Company
“Finding data engineers with dbt and Snowflake experience was critical for our modern data stack. Stackforce's talent pool had pre-verified profiles that matched our exact tech requirements. Outstanding quality.”
Ananya B.
VP of Analytics, Retail Analytics
Related Searches
Frequently Asked Questions
How many data engineers does Stackforce have in India?
Stackforce currently has 331.0k+ verified data engineer profiles in India. The pool is continuously growing as new professionals join the platform.
What are the top skills of data engineers in India?
The most common skills among data engineers in India include Talent Acquisition, Flutter, Data Analytics, Business Intelligence, Business Development, Next.js. Stackforce AI automatically identifies and verifies these skills from professional profiles.
How do I hire a data engineer in India through Stackforce?
Sign up for a free Stackforce account, browse data engineers profiles in India, and use AI-powered matching to find the perfect candidate. You can reach out directly through the platform with verified contact information.
Is it free to browse data engineer profiles on Stackforce?
Yes, you can browse profile summaries for free. Sign up for full access to contact information, detailed experience, and AI-powered talent recommendations.