Staff augmentation · India
Hire Data Analytics Engineers in India.Vetted shortlists for your team.
Request pre-vetted data analytics engineers in India. Shortlists in 2–3 weeks with clear engagement models for BI and semantic-layer work.
Request profileswith orders as ( select order_id, customer_id, date_trunc('month', created_at) as revenue_month, sum(net_amount) as net_revenue from {{ ref('stg_orders') }} where status = 'paid' group by 1, 2, 3)select revenue_month, count(distinct customer_id) as active_customers, sum(net_revenue) as monthly_net_revenuefrom ordersgroup by 1Core stack
- SQL & warehouse tuning
- Looker / LookML
- Tableau
- Power BI
- dbt analytics
- Python analysis
5+
Average years in analytics engineering
Engineers with executive dashboard and semantic-layer ownership.
How we staff engagements
We support founders and engineering leaders who need capacity without a long permanent hire cycle. You get clear timelines, a defined vetting process, flexible engagement options, and pricing before interviews.
- Placement speed
- 2–3 weeks
- Vetting process
- 4-step screen
- Engagement models
- Flexible
- Pricing range
- Custom bands
Role intake, sourcing, and technical screening through to a shortlist you can interview. Typical start within 2–4 weeks after you select a profile.
Stack and experience match, communication check, live technical review with a senior engineer, and reference checks before profiles reach you.
Dedicated augmentation, contract staffing, or contract-to-hire. Engineers work in your repositories, tools, and time zones, with IP assigned to you.
Monthly or hourly bands by seniority and stack, quoted before interviews so finance and engineering can align on budget.
Delivery metrics
- Average years in analytics engineering
- 5+
- Typical time to first trusted dashboard
- 2–4 wks
- Reduction in duplicate reports
- 50%+
- Documented metric definitions
- 100%
Engineers with executive dashboard and semantic-layer ownership.
Grain and ownership agreed before broad dashboard rollout.
Finance and product working from the same documented definitions.
Explores and models structured so teams can answer common questions without new tickets.
Skills screened
Tools we staff
Profiles are screened against your warehouse, dbt, and BI tools.
SQL & warehouse tuning
Warehouse SQL and query performance.
Looker / LookML
LookML models and governed explores.
Tableau
Dashboards for recurring executive use.
Power BI
Semantic models and Microsoft BI reports.
dbt analytics
dbt models and exposures for business logic.
Python analysis
Ad hoc analysis moved into maintained models.
Metric catalogs
Shared metric definitions and owners.
Metabase & self-serve BI
Self-serve BI with basic guardrails.
Reverse ETL (Census / Hightouch)
Metric syncs into CRM and product tools.
Frequently asked questions
How long does it take to receive a shortlist?
Most roles are shortlisted in 2–3 weeks after intake. Timing depends on seniority, stack rarity, and how quickly feedback comes back on the first profiles.
How do you vet candidates before we interview?
We screen for stack and experience fit, run a communication check, complete a live technical review with a senior engineer, and verify references before profiles reach you.
What engagement models do you support?
Dedicated staff augmentation, contract staffing, and contract-to-hire. Engineers join your tools, repositories, and ceremonies. IP is assigned to your company.
What if the person is not a fit after starting?
We replace in up to 30 days at no extra sourcing fee. Tell us early so we can protect your timeline.
How does pricing work?
We quote monthly or hourly bands by seniority and stack before interviews. That keeps finance and engineering aligned on budget before you invest time in the process.
