Job Location: Bangalore/Bengaluru
Roles and Responsibilities
- 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.
- 0-3 yrs of experience 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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