Seasoned Data Engineer with over 4 years of experience in Data Warehousing , Business Intelligence , and Enterprise Data Architecture

Expert in designing, implementing, and optimizing modern cloud data platforms across Snowflake and Azure ecosystems

Strong Snowflake Architect with deep hands-on expertise in multi-cluster architecture , performance tuning , data modeling , security , and cost optimization

Skilled in data sharing , zero-copy cloning , and multi-region replication , ensuring scalable, governed, and high-performing data platforms

Extensive experience with Azure Synapse Analytics (3 5 years) and Microsoft Fabric (1 2 years), including components such as Data Factory , Lakehouse , and OneLake

Adept at blending Snowflake and Azure technologies to deliver hybrid, cloud-agnostic data solutions aligned with enterprise needs

Key Responsibilities

- Architect and implement end-to-end data platforms leveraging Snowflake, Azure Synapse Analytics, and Microsoft Fabric

- Design and deploy Snowflake data architectures (multi-cluster, multi-zone, cost-optimized) for scalability, reliability, and governance

- Build robust ELT/ETL pipelines using Azure Data Factory, Synapse Pipelines, and Snowflake Tasks/Streams

- Develop data lakehouse and warehouse models using both Snowflake and Fabric Lakehouse concepts

- Implement role-based access controls, data masking, and secure data sharing in Snowflake for compliance and data privacy

- Migrate legacy data warehouses to Snowflake and Azure Synapse, modernizing analytics ecosystems

- Optimize query performance, storage costs, and resource consumption across Snowflake workloads

- Collaborate with cross-functional teams to ensure governed,



high-quality, and reusable data assets

Technical Skills

- Snowflake Expertise:
- Architecture design, performance optimization, clustering, data sharing, streams tasks
- Secure data access (RBAC, masking, encryption) and cross-region replication
- Cost governance and resource monitoring
- Azure Synapse Analytics (Dedicated Serverless SQL Pools)
- Microsoft Fabric (Data Factory, Lakehouse, OneLake, KQL, Power BI Integration)
- ETL/ELT Tools: Azure Data Factory, dbt, Synapse Pipelines
- Languages: SQL, T-SQL, Python
- Data Modeling: Star/Snowflake schema, Dimensional, Lakehouse modeling
- DevOps: Azure DevOps, CI/CD for data pipelines
- Governance Monitoring: Azure Purview, Power BI, Log Analytics

Certifications

- Microsoft Certified: Azure Data Engineer Associate

(Highly Recommended)

- Microsoft Certified: Azure Solutions Architect Expert
- DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions
- Snowflake SnowPro Core / Advanced Architect

(Preferred)

- Microsoft Fabric Specialization or Training

(Valuable)

- Optional: Power BI Data Analyst Associate

Soft Skills

- Analytical thinker with solid problem-solving ability
- Excellent communicator and stakeholder manager
- Strategic mindset with focus on scalability and governance
- Proactive, detail-oriented, and quality-driven
- Continuous learner passionate about cloud data innovation

- Domain Requirements: IT
- Domain Experience: 5
- Authorized To Work: India

Job highlights

- Experience in Year: 5 - 5

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Gurugram)
🏢 Multicloud4u Technologies
📍 Gurugram