Hire data engineers in India — dbt, Spark, Snowflake, and Airflow specialists
Modern data stack engineers from India. Pre-vetted on pipeline design, not just tooling keywords.
Data engineering has become one of the most in-demand and undersupplied technical roles in Western technology markets. India's data engineering talent pool — trained at analytics-heavy companies like Flipkart, Meesho, Swiggy, and in the data teams of global enterprises — provides depth in the modern data stack that is increasingly difficult to source cost-effectively in the US or Europe.
Why companies hire dedicated Data Engineers.
Data quality determines analytical credibility
Business decisions made on unreliable data are worse than decisions made with no data. Data engineers who build reliable, tested pipelines are foundational to analytical teams.
Data infrastructure debt compounds
Poorly designed data pipelines become increasingly expensive to maintain and extend. Dedicated senior data engineers who design for reliability and scalability from the start reduce long-term cost.
Analytics, BI, and ML all depend on data engineering
Data scientists, analytics engineers, and BI developers are all blocked by unreliable or inaccessible data. Data engineers are the force multiplier for the entire data function.
Why hire Data Engineers from India.
World's largest engineering talent pipeline
India produces 1.5M+ engineering graduates annually across IITs, NITs, IIITs, and hundreds of accredited colleges — the deepest single-country technical talent pool globally.
English as the professional language
English is the default language of India's technology sector — code, documentation, architecture discussions, and business communication are all conducted in professional English.
4–8 hours of live US time-zone overlap
IST (UTC+5:30) provides genuine synchronous collaboration windows for standups, code reviews, and design sessions with US and EU teams.
GCC and startup ecosystem training
India's 1,800+ Global Capability Centres and unicorn ecosystem (Razorpay, Meesho, CRED, Swiggy) have trained engineers in product-grade software development at global scale.
65–72% cost savings vs US market
Fully-loaded offshore cost through Remvix runs 28–35% of US-equivalent compensation — without sacrificing seniority or code quality.
What to look for.
- dbt (Core + Cloud), dbt tests, semantic layer — transformation
- Apache Airflow, Dagster, Prefect — orchestration
- Apache Spark, PySpark — large-scale processing
- Snowflake, BigQuery, Redshift, Databricks — warehousing
- Kafka, Kinesis, Flink — real-time streaming
- Python, SQL — core languages
- Airbyte, Fivetran, Stitch — ingestion
- Great Expectations, Monte Carlo — data quality
- Terraform, Docker — data infrastructure-as-code
What they own.
- 01Design and build batch and streaming data pipelines
- 02Implement dbt models for data transformation and testing
- 03Build and maintain Airflow/Dagster DAGs for pipeline orchestration
- 04Design data warehouse schemas and optimise query performance
- 05Implement data quality checks and monitoring
- 06Build integrations with source systems via APIs and CDC
- 07Maintain data documentation and lineage tracking
- 08Collaborate with analytics engineers and data scientists
What to know before you start.
Tool keyword vs pipeline architecture depth
Many data engineers can list dbt and Airflow but have shallow experience with incremental strategies, data modelling best practices, or production pipeline reliability. Remvix's screening tests actual architecture decisions.
Modern stack vs legacy ETL experience
A portion of India's data engineering pool is trained primarily on legacy ETL tools (Informatica, SSIS, Talend). Remvix screens specifically for the modern data stack relevant to your environment.
Data quality as a first-class concern
Many data engineers build pipelines without systematic quality testing. Great Expectations, dbt tests, and data observability tool experience are explicitly screened.
Work with us the way that fits.
Dedicated Team
A full-time developer or team working exclusively for your company — embedded in your sprints, tools, and culture.
Offshore Staffing
Individual dedicated hires at 65–72% lower cost than US equivalents. No minimum headcount.
Permanent Hiring
Full-time permanent hires with Indian-market competitive compensation and multi-year retention infrastructure.
Contract Staffing
Short-term or project-based engagements — surge capacity, pilots, or trial-before-permanent.
Employer of Record (EOR)
No Indian entity required. Remvix employs the team; you direct the work and pay one monthly invoice.
Which industries hire Data Engineers from India.
How we hire and operate your team.
Pre-screened network, not cold sourcing
Remvix maintains a continuously updated pre-screened network of candidates per role category. Shortlists are delivered within 7 days because sourcing starts before you ask.
Technical screening calibrated to your bar
We don't use generic assessments. Live coding, system design walkthroughs, and written communication reviews are all calibrated to your specific stack, seniority, and team norms.
You make every hire decision
Remvix provides pre-qualified shortlists. Your team runs the technical interviews and makes every final hire decision. We remove noise; you set the bar.
Enterprise operating infrastructure from day one
Payroll, statutory compliance, health benefits, equipment, IP assignment, and HR business partner support are all included. Your hire is fully operational within 3 weeks of kickoff.
Retention as an operating commitment
Competitive Indian-market compensation, L&D access, career pathing, and HR support drive 18–36 month average tenures — not hiring-agency churn.
- Payroll & tax filing
- Statutory compliance
- Health benefits
- Laptop & secure device
- IP assignment & NDA
- HR business partner
- 7-day shortlists
- Replacement aligned to your needs
- Month-to-month — no lock-in
Common questions.
Can Indian data engineers work with dbt and Snowflake?+
Yes — dbt Core, dbt Cloud, and Snowflake are among the most common tools in India's data engineering talent pool. We screen for dbt modelling depth, incremental strategies, and Snowflake performance optimisation.
Can they build real-time streaming pipelines with Kafka?+
Yes — Kafka, Kinesis, and Flink streaming pipeline experience is available from engineers trained in consumer internet companies with real-time event architectures.
Do they implement data quality checks?+
Yes — dbt tests, Great Expectations, and Monte Carlo data observability are screened as explicit requirements, not nice-to-haves.
Can data engineers also build ML feature stores?+
Yes — ML-aware data engineers who build feature stores (Feast, Tecton) and training data pipelines are available from companies with mature ML platforms.
How much does a senior data engineer cost through Remvix?+
Approximately $60–72K all-in annually. US equivalent is $180–240K total compensation.
Can they work with Databricks?+
Yes — Databricks (Delta Lake, Unity Catalog, MLflow) experience is available in India's data engineering community, particularly from engineers at large-scale analytics companies.
What's the difference between a data engineer and an analytics engineer?+
Data engineers focus on ingestion, orchestration, and infrastructure. Analytics engineers focus on dbt transformation layers, semantic modelling, and BI-layer development. Both are available.
Can they integrate with our source systems via APIs and webhooks?+
Yes — building custom connectors for APIs, CDC integration with Debezium, and webhook-based event ingestion are standard data engineering responsibilities.
How quickly can a data engineer contribute?+
Most senior data engineers are building pipeline improvements within week 2 of onboarding.
Can they build and maintain Airflow DAGs?+
Yes — Airflow DAG development, task dependency management, XCom patterns, and custom operators are screened for orchestration-heavy data roles.
Also hiring for:
Build your team.
Why India is the world's primary offshore talent destination.
Your next great hire is in India.
We'll build the team around them.
Talk to a Remvix specialist about your roles, timeline, and budget. Get a tailored shortlist in 7 days — no commitment, no agency lock-in.