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Data Engineer (Snowflake)

Roles & Responsibilities

  • 5+ years of experience in ETL/ELT and data warehousing, with hands-on work in Snowflake and cloud data lakes
  • Strong SQL skills; programming experience in C# and Python; ability to build scalable, reliable data pipelines
  • Experience with Snowflake and Azure (Azure Data Factory); knowledge of metadata management, performance management, and data quality; Kimball dimensional model and SnowPro certification desirable
  • Familiarity with relational databases and designing/managing data environments in Snowflake

Requirements:

  • Create and manage data environments in Snowflake; design schemas and data models
  • Develop, operate, and monitor scalable ETL/ELT data pipelines
  • Manage data integration processes and data ingestion using Azure Data Factory and related Azure services; work with data lakes
  • Ensure data quality, metadata management, and performance optimization; collaborate with stakeholders on data warehousing solutions

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

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