HyrEzy Talent Solutions LLP
Website:
hyrezy.com
Job details:
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-commerce—and we’re 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.
Skills: modeling,dbt,analytics,pipeline,python,engineers,data,snowflake,airflow,architecture,sql
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