Data Engineer (Snowflake)

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