Data Engineer (Snowflake)

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📍 United States

📅 Posted 2026-06-29 · via Himalayas

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Position: Data Engineer (Snowflake)

Job Location: Remote
Start Date: Immediate
Experience: 5+ years

Contract Duration: 06 months + Extension
Working shift timing: normal hours overlapping
Selection Process: 2 rounds
Job Description: Received
- Experienced in ETL/ELT techniques integrating into Data Warehouse solutions.

- Solid understanding of Relational Databases & Data Warehouse methodology such as Azure Data Factory

- Knowledge of various architectures and methodologies like metadata management, performance management and handling data quality issues.

- Create and manage data environments in Snowflake.

- Manage and monitor the data integration process.

- Experience working in a cloud architecture with data lakes.

- Excellent SQL skills.

- Develop and operate efficient data pipelines which are scalable and reliable.

Tooling & skills
- Working experience in Snowflake and Azure.

- Experience with C#, SQL, Python

- Understanding of the Kimball dimensional model will be desirable.

- Certified Snowflake SnowPro is desirable

Azure
- Azure Data Factory - for big data ingest

- Azure Functions (C#) - for dynamically scaling / high velocity / middleware, ingest or API

- Azure Storage (tables, blobs, queues)

- CosmosDB (multi-model nosql db)

- Virtual Machines

- Container Instances

- Key VaulAzure Devops

Originally posted on Himalayas

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