About company
Give a briRole & ResponsibilitY
· Evaluating, developing, maintaining and testing data engineering solutions for advanced analytics projects.
· Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
· Distill business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components.
· Strong knowledge of replication processes, change data capture processes, T-SQL, and Dynamic SQL skills
· Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
· Optimize data integration platform to provide optimal performance under increasing data volumes
· Support the data architecture and data governance function to continually expand their capabilities
· Support the automation of requirements of database deployments using Azure DevOps
· Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM/Manager level candidates)
· Should have exposure to client facing roles
· Strong communication, inter-personal and team management skills
THE INDIVIDUAL data brick data warehouse
· Proficient in any object-oriented/ functional scripting languages: Java, Python, C# etc.
· Design and develop new solutions on the Azure Cloud Platform specifically for Azure SQL Data Warehouse/DB, Azure Data Factory, Analysis Services, Azure Data Lake Store / Blob
· Hands-on experience working in complex data warehouse implementations using Azure SQL Data warehouse, Azure Data Factory and Azure SQL Database.
· Strong t-SQL skills with experience in Azure SQL DW
· Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.
· Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform
· Hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data ingestion scenarios
· Experience in creating tabular models (DAX) in Visual Studio.
Qualification
· BE/BTech/MCA
· 5-8 years of strong experience in 3-4 of the above-mentioned skills.
CRITERIA
· Education 60% above throughout academics
· One 3 years (at least) regular course is must either Diploma or Graduation
WoRK Timing
Monday to Friday