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About the Opportunity A fast-scaling technology consultancy in the data engineering and cloud analytics space, we empower enterprises across India to modernize their data stacks with Snowflake, dbt, and best-in-class orchestration tools. Our clients span fintech, healthcare, and e-commerceand were building next-gen data platforms that drive real-time decision-making and AI readiness. Join us to architect clean, scalable, and testable data pipelines that fuel business outcomes. Role & Responsibilities Design, build, and optimize end-to-end data pipelines using Snowflake as the core data warehouse and dbt for transformation logic. Implement data modeling best practices (star schema, Kimball, Data Vault) and ensure pipeline quality with unit/integration tests. Orchestrate workflows via Airflow or similar tools to automate ingestion, transformation, and validation processes. Collaborate with analytics engineers and data scientists to define business logic, metrics, and data contracts. Monitor pipeline performance, troubleshoot bottlenecks, and enforce data lineage and governance standards. Document data models, pipeline architecture, and deployment runbooks to ensure team scalability and knowledge sharing. Skills & Qualifications Must-Have Snowflake dbt (data build tool) SQL (complex queries, CTEs, window functions) Python (for scripting, automation, and UDFs) Cloud platforms (AWS, GCP, or Azure) Airflow or Prefect CI/CD tools (GitHub Actions, GitLab CI) Data modeling (star schema, dimensional modeling) Preferred Experience with Terraform or infrastructure-as-code Familiarity with observability tools (Datadog, Grafana) Exposure to data governance frameworks (e.g., Great Expectations, Monte Carlo) Benefits & Culture Highlights On-site collaboration with high-caliber engineers in a startup-paced, product-driven environment. Opportunity to influence architecture decisions and mentor junior engineers. Access to cutting-edge tools and regular upskilling sessions aligned with Snowflake & dbt ecosystems. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.