Data Engineer (Snowflake) Pradeepit Consulting Services

  • company name Pradeepit Consulting Services
  • working location Office Location
  • job type Full Time

Experience: 5 - 5 years required

Pay:

Salary Information not included

Type: Full Time

Location: All India

Skills: relational databases, Snowflake, SQL, C, Python, azure devops, ETLELT techniques, Data Warehouse methodology, azure data factory, Cloud architecture, Kimball dimensional model, Certified Snowflake SnowPro, Azure Functions, Azure Storage, CosmosDB

About Pradeepit Consulting Services

Job Description

About the job 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,