Avanade Inc. Data Engineering Operational Support in Toronto, Ontario
Do you love making sure that information is accessible and easy to use? So do we. You are a Data Engineering Operational Support Analyst who knows 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. About you: You draw on your experience in bringing data to life to aim sometimes complex problems, and you’re able to use concepts around storing, transforming, and visualizing data along the way. About the job: As a Data Engineering Operation Support Analyst, you know the importance of data to business. You troubleshoot issues and provide solutions 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 * 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 Your skills: You have got a great experience in data and analysis, and how to source, store and share information. You’re a problem solver who’s happy to work autonomously and to share their knowledge and skills, as well as guiding other team members. Your skills and experience include: * 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 Desirable skills: * 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 What we offer: * 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
Employment Transparency Avanade® Is An Equal Opportunity Employer. Avanade prohibits discrimination and harassment against any employee or applicant for employment because of race, color, age, religion, sex, national origin, gender identity or expression, sexual orientation, disability, veteran, military or marital status, genetic information or any other protected status.
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