Azure Data Engineer Azure Data Engineer …

Cognizant
in Hong Kong
Permanent, Full time
Be the first to apply
Competitive
Cognizant
in Hong Kong
Permanent, Full time
Be the first to apply
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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