Data Engineer Job in AIM

2+ years hands on into Snowflake, Python, Databrick hands on experience Mandatory
Worked on Snowflake Implementation as an Architect in any one project is a must
Having Talend experience is a good to have
Handles DWH Architect and designing ETL models
Experience in defining new architectures and ability to drive an independent project from an architectural standpoint
Expertise in Snowflake data modelling ELT using Snowflake SQL implementing stored procedures and standard DWH ETL concepts
Expertise in Snowflake advanced concepts like setting up resource monitors RBAC controls virtual warehouse sizing query performance tuning Zero copy clone time travel and understand how to use these features
Participates in design reviews and assisting with the allocation of functionality to specific system component
Coding complex U-SQL, Spark (Python), T-SQL.
Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake,Azure Data Factory, Azure Databricks)
Expertise in Any ETL tool i.e. (SSIS, Informatica, Data Stage)
Expertise to Implementing Data warehousing Solutions.
Experience as a Data Engineer in Azure Big Data Environment.
Programming experience in Python, SQL.
Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory.
Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW.
Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale.
Azure Databrick
Defines, designs, develops and test software components/applications using Microsoft
Azure Databricks, ADF, ADL, Python, Databricks
Expert in Azure Data Bricks, ADF, ADL, Hive, Python, Databricks, Spark
Strong T-SQL skills with experience in Azure SQL DW
Experience handling Structured and unstructured datasets
Experience in Data Modelling and Advanced SQL techniques
Experience implementing Azure Data Factory Pipelines using the latest technologies and techniques.
Microsoft Azure- Databricks, ADF, ADL, Hive, Python, Databricks, SparkSql, PySpark.