Azure Data Engineer

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
profile Experience Required: 5years
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer - Azure


Skills Required:

Microsoft Azure

Agile Way of Working


Job Description:

Designing and developing data pipelines using Cloud Technologies based on business requirements and technical design.

Collaborating with Stakeholders Business Analysts and Data Architects to assist and translate business requirements to technical solutions.

Develop big data and analytic solutions leveraging new or existing technology to advance Manulife all lines of business.

Exploratory data analysis by querying and processing data stores and databases and generate reports.

Design upgrade and implement new data work-flows.

Write and maintain technical documentation Executes updates patches and other activities required to maintain and enhance the operations of on-premise or cloud-based environments

Experience working as Data Engineer with focus on big data processing and/or relational data-bases with good understanding of SQL Experienced with working on Structured and Semi-Structured datasets.

Experience working with Microsoft Azure Data Platform specifically Azure SQL Database Azure Data Factory ADLS storage account Azure Data Bricks and DevOps.

Experienced in creating data pipelines & developing complex and optimized queries.

Experienced with Workflow Management Tools: Airflow Crontab CA Workload Automation.

Experience with implementing CI / CD pipeline on GitHub Jenkins / JGP.

Experience writing complex SQL and NoSQL jobs to analyse data in traditional DBMS (MS-SQL Oracle) environments.

Experience with integrating to back-end/legacy environments.

Experience integrating business and technology teams.

Experienced in any of the following programming/scripting languages (SQL Python Shell Scala).

Excellent organizational and time management skills strong business presence with ability to multi-task and effectively deal with competing priorities.


Nice to have:

Proficiency in writing software in one or more languages - such as Java Node . Exposure to microservices.

Experience in scripting language such as groovy Python shell. Grounding in DevOps principles test-driven development continuous integration and continuous delivery.

Experience in Microsoft Azure and AKS or other similar cloud technologies.

Experience automating infrastructure provisioning with tools such as Terraform Chef and HELM charts.

Experience with Jenkin Artifactory Sonar Cube. Familiarity with package management tools such as npm pip.

Familiarity with build processes and build tools such as maven Gradle.

Familiarity with standard IT security practices. Familiarity with database technologies in cloud such as Azure SQL Cosmos/Mongo.


Experience Required: 6 years

Data Engineer - Azure Skills Required: Microsoft Azure Agile Way of Working Job Description: Designing and developing data pipelines using Cloud Technologies based on business requirements and technical design. Collaborating with Stakeholders Business Analysts and Dat...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala