Data Engineering Operational Support
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Description du poste
Do you love making sure that information is accessible and easy to use? So do we.- 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
- Support client's application within data and applications operations team as primary support member
- Monitor and troubleshoot client's data pipeline using Python, SQL and Spark skills
- Respond to incident tickets/concerns raised by client, attend weekly meetings with client to provide updates and answer questions
- Utilize Python programming, Azure DevOps and Hadoop ecosystem (HDFS, YARN, Hive, Oozie) to support the application
- Collaborate with various teams to stabilize the application by fixing bugs in the code, data reconciliation, automation, etc.
- 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
- Data Pipeline tools with preference for Azure Data Factory, Azure Databricks
- Strong knowledge of Python, Spark, and T-SQL
- Experience participating in a data migration to Cloud Services
- Database, storage, collection and aggregation models, techniques, and technologies - and how to apply them in business
- Experience in structured problem solving
- Data modelling
- Strong communication skills
- Ability to use technology to aim business problems using one or more Microsoft Analytics services for building data pipelines, data streams, and system integration
- 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 AND 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
- You’re likely to have a Bachelor’s degree in IT, Applied Mathematics, Statistics or another meaningful field, or an equivalent combination of education and experience.
- You also have several years of relevant professional experience
- A fast paced and growing environment of Data professionals and peers to learn with and from
- Investment in your training and certifications
- Internal mobility and constant learning
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À propos d’Avanade
Avanade est le chef de file des services numériques, infonuagiques et de conseils innovants, des solutions d’affaires et des expériences orientées vers la conception dans l’écosystème Microsoft. Tous les jours, nos 56 000 professionnels dans 26 pays ont un véritable impact humain auprès de nos clients, leurs employés et leurs clients.
Nous avons reçu le titre de partenaire Global de Microsoft de l’année dans l’intégration de systèmes plus souvent que toute autre entreprise. Avec le plus grand nombre de certifications Microsoft (plus de 60 000) et 18 (sur un total de 18) compétences Or de Microsoft, nous sommes dans une position unique pour aider la croissance des entreprises et pour résoudre leurs plus gros défis.
Nous sommes une entreprise axée sur le personnel, engagée à offrir un milieu de travail inclusif où les employés se sentent à l’aise d’être authentiques. À titre d’entreprise responsable, nous mettons en place un monde durable et nous aidons les jeunes de communautés sous-représentées à réaliser tout leur potentiel.
Détenue majoritairement par Accenture, Avanade a été fondée en 2000 par Accenture LLP et Microsoft Corporation. Apprenez-en davantage sur www.avanade.com.
