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
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