Azure Data Engineer Azure Data Engineer …

Cognizant
à Hong Kong
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Cognizant
à Hong Kong
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Azure Data Engineer
Azure Data Engineer

  • Above position is expected to implement Data Orchestration -Data Transformation and Data integration using MS Azure services.
  • Data Extraction, Transformation, Loading are main responsibilities considering enterprise data management for data lakes and data warehouses.
  • MS Azure Data Engineer (MS Certified) is preferred.

Responsibilities

  • 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

Basic Qualifications .
  • Experience: 5 - 7 years in Core Data Engineering.
  • Minimum 3 Years in Azure Data Engineering

Knowledge & Skills
  • Very strong @ 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

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







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