Overview
On Site
Full Time
Skills
IoT
IT architecture
Roadmaps
Problem solving
Analytical skill
Data engineering
Snow flake schema
Data Visualization
Microsoft Power BI
Streaming
Change data capture
ADF
Vector Databases
Analytics
Data
Storage
SQL Azure
Data processing
Workflow
Python
Apache Spark
SQL
Microsoft Azure
Data Analysis
Databricks
Job Details
Job Description
Job Description
Please take a look of the below job position and revert me back with your updated resume.
Tittle: Sr. Azure Data Engineer with Snowflake, IOT
Location: Atlanta, GA (Onsite)
Duration: Contract/ FTE
Job Description
Ability to define technical architecture, effectively communicate the architecture to senior executives, create a roadmap from technology validation to implementation and build frameworks for industrialized implementations
Strong problem-solving and analytical skills, with the ability to define, analyze & refine complex data engineering architectures
Experience with modern data engineering tools (e.g., Databricks, Snowflake) and data visualization tools (e.g., PowerBI).
Experience with data streaming and change data capture technologies (like ADF), and various relational, columnar, graph and vector databases.
In-depth knowledge of Azure services, including Azure Synapse Analytics, Azure Data Factory, Azure Storage, and Azure SQL Database.
Proficiency in developing and optimizing data processing workflows using Python, Spark, SQL.
Proven experience in designing and implementing scalable and reliable data analytics solutions on the Azure platform.
Relevant certifications in Azure Data Analytics, Databricks.
Best Regards,
Navneet Kumar
navneet.k@amaze-systems.com
Tittle: Sr. Azure Data Engineer with Snowflake, IOT
Location: Atlanta, GA (Onsite)
Duration: Contract/ FTE
Job Description
Ability to define technical architecture, effectively communicate the architecture to senior executives, create a roadmap from technology validation to implementation and build frameworks for industrialized implementations
Strong problem-solving and analytical skills, with the ability to define, analyze & refine complex data engineering architectures
Experience with modern data engineering tools (e.g., Databricks, Snowflake) and data visualization tools (e.g., PowerBI).
Experience with data streaming and change data capture technologies (like ADF), and various relational, columnar, graph and vector databases.
In-depth knowledge of Azure services, including Azure Synapse Analytics, Azure Data Factory, Azure Storage, and Azure SQL Database.
Proficiency in developing and optimizing data processing workflows using Python, Spark, SQL.
Proven experience in designing and implementing scalable and reliable data analytics solutions on the Azure platform.
Relevant certifications in Azure Data Analytics, Databricks.
Best Regards,
Navneet Kumar
navneet.k@amaze-systems.com
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.