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Snowflake Engineer – Data Engineering & Business Intelligence
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About the Role
We’re looking for an experienced Snowflake Engineer to design and deliver scalable, cloud-native data solutions that power analytics and decision-making across a multi-ERP enterprise landscape.
This role is a blend of architecture, hands-on engineering, and solution delivery, leveraging Snowflake, Power BI, Azure, and modern ELT frameworks like Matillion and dbt. You’ll help shape the foundation for real-time insights, cross-system integrations, and even AI/ML use cases that drive business impact.
This role is a blend of architecture, hands-on engineering, and solution delivery, leveraging Snowflake, Power BI, Azure, and modern ELT frameworks like Matillion and dbt. You’ll help shape the foundation for real-time insights, cross-system integrations, and even AI/ML use cases that drive business impact.
What You’ll Do
Data Architecture & Engineering
- Design and implement high-performance, cloud-native data pipelines for large-scale data ingestion, transformation, and delivery.
- Build reusable data ingestion and modeling frameworks using Snowflake, Azure Cloud, dbt, and Matillion.
- Ensure data architecture aligns with enterprise data models, master data strategy, and real-time integration needs.
Analytics & BI Enablement
- Partner with analytics teams to evolve Microsoft Fabric and Power BI capabilities toward real-time, cross-ERP reporting and decision intelligence.
- Enable a self-service analytics ecosystem by ensuring scalable and trusted data foundations.
Integration & M&A Data Strategy
- Lead integration architecture for multi-ERP environments, aligning to enterprise object models.
- Support M&A initiatives by driving data assessment, mapping, and onboarding of new acquisitions into the BI ecosystem.
- Evaluate current data assets to identify opportunities for optimization, standardization, and consolidation.
What You Bring
- 5+ years of experience in data engineering, with at least 2 years building and scaling data solutions in Azure Cloud.
- Hands-on expertise with Snowflake, Azure Data Factory, Event Hub, Functions, and Power BI.
- Advanced SQL development skills, including complex query optimization and data modeling (star/snowflake schema).
- Strong experience with Matillion, dbt, and modern ELT frameworks.
- Proven ability to connect technical solutions to strategic business goals.
- Familiarity with real-time pipelines, event-driven architectures, and composable enterprise designs.
- Exposure to multi-ERP or CRM ecosystems.
- Excellent communication skills and comfort working cross-functionally with business, product, and technology teams.
Preferred Experience
- Background in distribution, B2B, or logistics industries.
- Exposure to data science workflows or AI/ML use cases.
- Knowledge of data governance, MDM, and cataloging tools like Purview or Alation.
- Understanding of DevOps for Data (CI/CD, Terraform, GitOps).
- Experience with M&A integration projects from a data/BI standpoint.
Why Join Us
- Be part of a team building the next-generation data foundation for a global enterprise.
- Work on cutting-edge cloud technologies that shape real-time analytics and data-driven strategy.
- Collaborate with a forward-thinking team that values innovation, learning, and impact.
Job Snapshot
Updated Date
29-10-2025
Job ID
J_4193
Location
Chennai, Tamil Nadu, India
Experience
4 - 8 Years
Employee Type
Permanent
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