Data Engineer

Data Engineer

6-12 Months

Video Interview

Hybrid – Calgary, Ab

• Experience in Data engineering skills with ADF, Azure Data bricks, Spark, Synapse engineering, Data Engineering Projects with Data Ingestion and Transformation Pipeline development
• Experience with snowflake database, ADF and DBT
• Analyze Data Mapping documents and convert into technical specification document for Data models, Data flows and ETL Process.
• Developing SQL Queries, Azure Cloud Services, ADF, Spark programming, Data bricks, Data flows for Data enrichment and Transformations.
• Build and unit testing of ETL pipelines with SnowPipe, DBT, SnowSQL. Stored Procedure etc.
• Modernize / Migrate / Development of ETL Pipelines and Scripts for Modernizing
• Performs ETL code packaging, sequencing and validations of same
• Experience with Data Ingestion Pipeline while reading data from API’s
• Hands on Expertise into Synapse and SQL
• Stay till the Braze POC completes on legacy
• Knowledge Transfer (KT)
• Braze Integration
• Develop Ingestion Pipelines from Braze Data Lake
• Unit testing