Job Location: Bengaluru
Roles and Responsibilities
Responsibilities
- Understand the product requirements and work on robust data platform on Azure cloud technologies.
- Create reusable and scalable data pipelines
- Develop and deployment of new data platforms
- Use Azure data services for development of Big Data Platforms
- Creation of reusable components for rapid development of data platform
- Implement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios
- Manage Azure DevOps pipelines
- Develop batch processing, streaming and integration solutions
- Automate Azure Data Factory pipelines
- Manage source data access security
- Configure authentication and authorization
- 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
Knowledge & Skills
Very strong at SQL-PL SQL-Spark SQL.
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
Azure Databricks / Apache Spark Analytics Platform
Azure Datafactory
Kafka
PowerBI / Tableau Analytics and create visualization.
RDBMS – PostgreSQL
NoSQL – Azure Cosmos DB
Airline Operational data analysis experience
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,
Preferred Qualifications (Desired Skills/Experience):
Azure Data Engineer certification
Experience in working with AGILE model
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