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New

Edgenda: Big Data Solution Architect

Edgenda

This is a Full-time position in Montreal, QC posted July 30, 2021.

Montreal or Québec cityPermanent, full-timeAt Edgenda, you’ll have the opportunity to exercise your expertise in data engineering solutions as a Big Data Solutions Architect, as well as to be actively involved in the growth of one of our upcoming expertise centers; Big Data DevOps.Here’s how you will be involved :You will be responsible for the design, development and testing of data engineering solutions to meet architectural standards and requirements for maintainability and scalability ; Design and implement data integration processes from various data sources to ADLS, Azure SQL, Azure Synapse and cloud-based ‘big data’ technologies (Hadoop, MapReduce, Hive, Spark, Kafka, Pig, data streaming, NoSQL, SQL) ; Create and maintain an optimal data pipeline architecture to meet customer needs ; Design and implement Data Lake processes to support data provisioning capabilities to feed analytical requirements ; Design and implement lifecycle management processes to enable continuous integration and ongoing deployment of data systems ; Identify, design and implement internal process improvements such as automating manual processes, optimizing data delivery, redesigning data infrastructure for greater scalability, etc.; Develop ETL solutions using Azure Data Factory to load data into the data warehouse ; Design securitypolicies and standards for data; Write technicaldocumentation to support data engineering solutions under development; Review completed code, documentation and other deliverables to ensure they meet specifications and requirements based on defined expectations; Contribute to pre-sales efforts by providing product, technical, and business expertise for proposals, presentations, and/or custom demonstrations.With whom?

You will work closely with BI (business intelligence) developers to enable them to map reports to standardized data models; You will partner with business analysts to understand and translate business requirements into user stories and acceptance criteria to support the delivery of consumable data; You will collaborate with all stakeholders, including management, product, data, and design teams, to help them solve technical data issues and meet their data infrastructure needsIf you have the following experience : You have experience using tools such as: Azure Cloud, Azure Blob, ADLS, Cosmos DB, Databricks, Azure Data Factory, Azure SQL, Azure Synapse, Azure Stream Analytics, PowerBI, MS SQL Server BI Stack, including SSRS, SSIS, SSAS, T-SQL, Power Query, etc.You have a deep understanding of database fundamentals, including relational database design, multidimensional database design, OLTP, and OLAP ; You have experience with API data integrations into Azure and on-premise environments ; You have experience with Big Data technologies such as Hadoop or HDInsight, Hive, Spark, Kafka, etc.

; You have experience with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement ; You have experience in manipulating, processing and extracting value from large, disconnected datasets ; You have good knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores ; You have experience with columnar database technologies ; You have strong analytical skills related to working with unstructured datasets ; You have experience wth relational SQL and NoSQL databases, including MS SQL, Postgres, Neo4j, MongoDb, Casandra, Hbase ; You have experience with object-oriented/object function scripting languages: Python, Java, C++, C#, .Net, Scala, etc.

And the following skills : You are able to work independently and proactively ; You are used toworking with cross-functional teams in dynamic environments ; You are comfortable navigating fast-paced environments to meet deadlines ; You have excellent communication skills (written and oral)And if, in addition, you hold: More than 3 to 5 years of experience with Cloud data engineering technologies ; More than 2 years of recent experience developing solutions in Azure Cloud, Azure Blob, ADLS, Cosmos DB, Databricks, Azure Data Factory, Azure SQL, Azure Synapse and/or Microsoft SQL Server ; A university degree or college diploma in a relevant field ; Bilingual, English and FrenchWe want to meet you!

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