Working along with architects for planning, designing, integrating, and implementing complex solutions in Azure Cloud computing services
End to end development lifecycle of complex large-scale and multi-user applications
Implement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios
Big Data ETL considering enterprise data management for data lakes and data warehouses
Data Orchestration -Data Transformation and Data integration using MS Azure services
Develop batch processing, streaming and integration solutions
Automate Azure Data Factory pipelines
Manage and enforce data policies and standards
Monitor databases and data processing for a specified scenario
Implement big data real-time processing and integration solutions
Manage Azure DevOps pipelines
Basic Qualifications :
Education : B.E. / M.Sc. / M.E. / M. Tech.
Minimum 2 Years in Azure Data Engineering
Knowledge & Skills :
Very strong @ SQL-PL SQL-Spark SQL Scala PySpark
Interaction with No SQL Databases
Interaction with Event Hub, IoT Hub Databases
Files Processing – XML, CSV, Excel, Jason, etc. Formats
Structured and Non-Structured Data processing
Data ETL Capabilities
Knowledge of Distributed Big Data Processing
Data Warehouse and Data Lake Implementation experience in past
Interaction with REST APIs , Web Services
Required Competencies :
Customer Focus
Good verbal & written English communication
Ability to work with globally diverse teams
Readiness to work in flexible work timings
Abstract & Analytical Thinking
An interpersonal savvy. A very good team player
Nimble learning. Willingness to explore and adapt
Certifications :
MS Azure Data Engineer (MS Certified) is preferred
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