Data Engineer (Snowflake)

Visa Hunt; United States; On-site; USD 120,000 - 165,000; Full time

Job summary

Visa Hunt is seeking a Data Engineer (Snowflake) for a remote role with immediate start. The candidate will design and operate scalable data pipelines, manage Snowflake environments, and oversee data integration in a cloud-based data lake ecosystem.

The ideal candidate has 5+ years of experience, strong SQL, and hands-on Azure data services knowledge. 6 months contract with possible extension and standard working hours are expected.

Qualifications

• Experience with ETL/ELT techniques in Data Warehouse environments.
• Strong SQL skills and relational database knowledge.
• Hands-on experience with Snowflake and Azure cloud services.
• Knowledge of data lakes and cloud architecture concepts.

Responsibilities

• Develop and operate scalable data pipelines for Snowflake-based environments.
• Create and manage data environments in Snowflake and monitor data integration processes.
• Work with Azure Data Factory and related tools for data ingestion and orchestration.
• Ensure data quality and metadata management within cloud data architectures.

Skills

ETL/ELT

SQL

Python

C#

Snowflake

Azure

Data pipelines

Data integration

Tools

Snowflake

Azure Data Factory

Azure Functions

Azure Storage

CosmosDB

Virtual Machines

Container Instances

Azure DevOps

Job description

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