Hire IT Talent · Data Engineers
Hire Data Engineers in India
Data engineers, big data engineers and pipeline architects screened on the pipelines they have built and kept running, for contract staffing, contract-to-hire or permanent roles.
- Batch & streaming pipelines
- Contract · C2H · Permanent
- Remote, hybrid & on-site
Data Engineer Staffing
Data Engineers Who Keep Pipelines Running
Nobody notices a data engineer until the morning dashboard is empty. Behind every report, model and data product sits a pipeline that has to land on time, with the right rows, at whatever volume arrived overnight. Zilo AI helps recruiters and data leaders across India hire data engineers, big data engineers and data pipeline architects who build ingestion, transformation and orchestration on Spark, Kafka, Airflow and dbt, and who keep that work reliable as the data grows.
We handle contract data engineer staffing in India for migrations, platform builds and backlog clean-ups, contract-to-hire when you want to see how someone handles your data before an offer, and permanent hiring for the engineers who will own the platform. If your team is committed to one cloud, we also shortlist cloud data engineers by the exact AWS, Azure, Google Cloud, Snowflake or Databricks services you run.
Screened on Real Pipelines
We ask what a candidate built, what it fed and what happened when it failed, not only which tools appear on the CV.
SQL and Spark First
Candidates are checked on SQL, Python and Spark fundamentals, the skills that decide whether a pipeline is fast or merely finished.
Contract Staffing Ready
Bring in data engineers on contract for a migration or a new warehouse, then keep the people your team relies on.
Architects When You Need Them
Data pipeline and analytics architects who design the warehouse or lakehouse, set modelling standards and plan the move off legacy systems.
Roles We Fill
Data Engineering Roles We Fill
Whether you need one engineer to stabilise a fragile pipeline or an architect to design a new platform, every candidate is screened against your stack and your data volumes.
Data Engineer / Big Data Engineer
Builds and runs the batch and streaming pipelines that feed your warehouse or lakehouse: ingestion, transformation, orchestration, data quality checks and tuning of Spark and SQL workloads as volumes grow.
Data Pipeline & Analytics Architect
Designs the target data platform: warehouse or lakehouse layout, dimensional and data vault models, governance, lineage and access control. Sets the standards your engineers build to and plans migrations off legacy systems.
For Recruiters & Hiring Managers
How to Hire a Data Engineer Who Delivers
Data engineering job titles cover very different work. One company's data engineer writes dbt models all day, another's runs Kafka clusters, and a third's spends most of the week moving reports off an old warehouse. Use this checklist to pin down the role and test for it, whether you hire with Zilo AI or on your own.
Writing the job post? Start from our Data Engineer Job Description, a template you can copy and edit.
Interview questions worth asking
- Describe a pipeline you built end to end. Where did the data come from, and who used it?
- A daily load ran successfully but the numbers are wrong. How do you find out why?
- How do you make a pipeline safe to rerun without creating duplicate records?
- When would you use streaming instead of batch, and what does it cost you?
- Tell me about a slow Spark or SQL job you tuned. What did you change, and how did you know it worked?
- How do you handle a source system that changes its schema without warning?
Define Where the Data Goes
Write down the sources, the destination and the people who consume the output. A role feeding a finance warehouse needs different instincts from one feeding a recommendation model.
Separate Platform Work From Modelling
Some engineers are strongest on infrastructure, clusters and streaming. Others are strongest on SQL, dbt and dimensional models. Say which you need, because few people are equally good at both.
List the Stack You Actually Run
Name your warehouse or lakehouse, your orchestrator and your cloud. A shorter, honest list attracts people who fit, while a long wish list attracts people who have only read about the tools.
Test for Data Quality Habits
Ask how candidates check row counts, nulls, duplicates and late-arriving data. Engineers who build validation in from the start save your analysts from finding the problems later.
Match the Engagement to the Project
Use contract staffing for a migration or a fixed platform build, contract-to-hire when the pipeline is business-critical and you want proof first, and permanent hiring for the people who will run it.
Bring In an Architect for Big Changes
A lakehouse build or a legacy warehouse migration benefits from an architect who sets the model, governance and lineage before engineers start writing jobs.
Engagement Models
Flexible Ways to Hire
Choose the model that fits your budget, timeline and team structure, and switch as your needs change.
Contract Staffing
Add vetted professionals for a fixed term or project and scale the team up or down as your roadmap changes.
Best forProject spikes & tight deadlines
Contract-to-Hire
Work with a professional on contract first, then convert them to a full-time employee once you are confident in the fit.
Best forDe-risking critical hires
Permanent Hiring
We source, screen and shortlist candidates for full-time roles on your payroll, and coordinate interviews through to the offer.
Best forBuilding your core team
Dedicated Teams
Get a ready-to-go team of specialists aligned to your goals, working in your tools, processes and time zone.
Best forNew products & long-term programs
How It Works
Hire in Four Simple Steps
A clear, collaborative process that respects your time and gets the right people into your team.
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1
Request
Share the role, must-have skills, experience level, budget and preferred engagement model with our team.
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2
Shortlist
We source and technically screen candidates, then share only the profiles that genuinely match your brief.
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3
Interview
You interview the shortlisted candidates and select the best fit, and we coordinate schedules and feedback.
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4
Hire
Onboard your new expert and start building immediately, with our team on hand as you scale.
Why Zilo AI
Why Companies Choose Zilo AI for IT Hiring
Hiring technical talent takes time your team doesn't have. We take on sourcing, screening and coordination, so your engineers only spend time with candidates worth meeting.
- Role-specific technical screening before every shortlist
- Coverage across AI, data, cloud, software, security and ERP
- Contract, contract-to-hire and permanent hiring from one partner
- Talent for remote, hybrid and on-site roles across India
- A single point of contact from requirement to onboarding
Industries We Serve
- BFSI & Fintech
- Healthcare & Life Sciences
- E-commerce & Retail
- SaaS & Product Companies
- Telecom
- Manufacturing
- Semiconductors & Electronics
- EdTech
- Logistics & Supply Chain
FAQs
Hiring Data Engineers: Common Questions
Have a question we have not answered? Talk to our team and we will get back to you quickly.
Talk to Our Team
- +91 77604 02792
- connect@ziloservices.com
- Mon to Fri: 8am to 10pm
- Hebbal Kempapura, Bangalore
Which data engineering roles can Zilo AI help us hire?
We hire data engineers and big data engineers for batch and streaming pipelines, data pipeline and analytics architects who design the warehouse or lakehouse, and cloud data engineers for AWS, Azure, Google Cloud, Snowflake and Databricks.
Do you offer contract data engineer staffing in India?
Yes. You can hire data engineers on contract for a migration, platform build or extra capacity, on contract-to-hire if you want to see their work before making an offer, or as permanent employees.
What is the difference between a data engineer and a data scientist?
A data engineer builds and runs the pipelines, storage and data models that make data reliable and available. A data scientist uses that data to build forecasting, churn, pricing or risk models. Most teams need the engineering in place before the data science pays off.
How do you screen data engineers?
Candidates are screened on SQL, Python and Spark, on pipelines they have built and maintained, and on how they handle orchestration, data quality and performance, before their profiles reach your interview panel.
Can you find data engineers for a specific cloud platform?
Yes. If you run on AWS, Azure, Google Cloud, Snowflake or Databricks, we shortlist cloud data engineers by the exact services you use, such as Glue and Redshift, Data Factory and Fabric, or BigQuery and Dataflow.
Can you hire for remote, hybrid or on-site roles?
Yes. We hire data engineers for remote, hybrid and on-site roles across India, and can staff a full data team through the dedicated team model.
Ready to Hire Data Engineers?
Tell us about your data sources, your stack and what the pipelines need to feed, and get a shortlist of pre-vetted data engineers who have built similar platforms.