Pays:

Canada

Villes:

Edmonton, Montreal, Toronto, Vancouver

Domaine de spécialisation :

Génie logiciel

Description du poste

We Are:


The Data & AI Team -- Emerging Technologies. We are the people who love using data to tell a story. A strong and passionate group of data scientists, data engineers, and experts in machine learning and AI.


A great day for us? Solving big problems using the latest tech, serious brain power. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.


You Are:


A software engineer and technologist at heart, with a passion for big data! You are a hand-on-keyboard developer, and you know how to find, store, and present a range of information from different sources so that everyone can access what they need quickly and simply, and use it effectively.


You are someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re passionate about digital technology, and you take pride in making a tangible difference. You have communication and people skills in spades.


You thrive in front of complex issues thanks to your razor-sharp critical thinking skills.


The Work:


Our software engineers, with a specialization in Data, define strategies and develop solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.


The Job:


As a Data Engineer, you know the importance of data to business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making. You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis.


Day-to-day You:


  • Use your knowledge to plan and deliver data warehouses and storage
  • Take part in crafting and running bespoke data services for individual projects
  • Stay up to date with business best practice in using and retrieving data
  • Design, develop, adapt, and maintain data warehouse architecture and relational databases that support data mining
  • Customize storage and extraction, metadata, and information repositories
  • Build and use effective metrics and monitoring processes
  • Help to develop business intelligence tools
  • Craft and maintain report forms and formats, information dashboards, data generators and canned reports, as well as other information portals and resources


Specifically, Your Skills And Experience Include:


  • Strong knowledge of Python, Spark, and T-SQL
  • Strong OOP fundamentals
  • Database, storage, collection and aggregation models, techniques, and technologies – and how to apply them in business
  • Experience in structured problem solving
  • Knowledge of Azure tools such as Azure Data Factory, Azure Data Lake, Azure SQL DW or Azure SQL
  • Knowledge of Big Data tools such as Hadoop / Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics
  • Experience preparing data for Data Science and Machine Learning
  • Crafting and building Data Pipelines using streams of IoT data
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals


Here’s What You Need:


  • Bachelor's degree in Computer Science, Engineering, Technical Science

  • Minimum 2 years of designing, building and operationalizing large-scale enterprise solutions as a software developer in either a full-stack, or back-end focused role

  • Exposure to one or more of Azure / AWS / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, HDInsights, SQL DW, DocumentDB, Search, Elastic Pool etc.

  • Exposure to designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.


HUGE Bonus Points if:


  • Experience designing and implementing data ingestion solutions on Azure

  • Experience in designing and optimizing data models on Azure

  • Experience integrating AZURE security services with Azure / AWS / GCP data services for building secure data solutions.

  • Experience introducing and operationalizing self-service data preparation tools (e.g. Trifacta, Paxata) on AZURE.

  • Designing operations architecture and conducting performance engineering for large scale data lakes a production environment.

  • Craft and lead client design workshops and provide tradeoffs and recommendations towards building a solutions.

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À propos d'Avanade

Avanade est le chef de file dans l'offre de services digitaux novateurs, de solutions métiers et d'expériences orientées vers la conception, exploitant la force des équipes et l'écosystème Microsoft. Nos professionnels associent expertises technologique, commerciale et sectorielle pour créer et déployer des solutions utiles pour les clients et leurs consommateurs. Le réseau d’Avanade regroupe 29 000 personnes dans 23 pays. À nos yeux, la collaboration est une véritable culture qui nous permet de mettre à l’honneur la diversité et d’être le reflet des communautés dans lesquelles nous opérons. Nous accueillons tous types de collaborateurs, et cherchons des personnes talentueuses capables d'investir leur personnalité dans leur travail, formons des équipes inclusives et encourageons la diversité à l'intérieur comme à l'extérieur de l'entreprise. Avanade, dont Accenture est le propriétaire majoritaire, a été fondé en 2000 par Accenture LLP et Microsoft Corporation. En savoir plus sur www.avanade.com.